David Pätzel, Richard Nordsieck and Jörg Hähner. 2024. A closer look at length-niching selection and spatial crossover in variable-length evolutionary rule set learning. In Xiaodong Li, Julia Handl (Eds.). GECCO '24 Companion: proceedings of the Genetic and Evolutionary Computation Conference Companion, Melbourne, VIC, Australia, July 14-18, 2024. ACM, New York, NY, 1779-1787 DOI: 10.1145/3638530.3664178
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Henning Cui, Andreas Margraf and Jörg Hähner. in press. Analysing the influence of reorder strategies for Cartesian Genetic Programming. preprint. DOI: 10.48550/arXiv.2410.00518
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Henning Cui and Jörg Hähner. 2024. Cartesian Genetic Programming is robust against redundant attributes in datasets. In Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe (Eds.). Proceedings of the 16th International Joint Conference on Computational Intelligence - ECTA, November 20-22, 2024, in Porto, Portugal. SciTePress, Setúbal, 108-119 DOI: 10.5220/0012974600003837
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Michael Heider, Maximilian Krischan, Roman Sraj and Jörg Hähner. 2024. Exploring self-adaptive genetic algorithms to combine compact sets of rules. In Akira Hirose, Hisao Ishibuchi (Eds.). 2024 IEEE Congress on Evolutionary Computation (CEC), 30 June - 5 July 2024, Yokohama, Japan. IEEE, Piscataway, NJ, 1-8 DOI: 10.1109/cec60901.2024.10612101
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Jonathan Wurth, Helena Stegherr, Michael Heider and Jörg Hähner. 2024. GRAHF: a hyper-heuristic framework for evolving heterogeneous island model topologies. In Xiaodong Li, Julia Handl (Eds.). GECCO '24: proceedings of the Genetic and Evolutionary Computation Conference, Melbourne, VIC, Australia, July 14-18, 2024. ACM, New York, NY, 1054-1063 DOI: 10.1145/3638529.3654136
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David Pätzel, Richard Nordsieck and Jörg Hähner. 2024. Length-niching selection and spatial crossover in variable-length evolutionary rule set learning. In Xiaodong Li, Julia Handl (Eds.). GECCO '24 Companion: proceedings of the Genetic and Evolutionary Computation Conference Companion, Melbourne, VIC, Australia, July 14-18, 2024. ACM, New York, NY, 303-306 DOI: 10.1145/3638530.3654308
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David Pätzel, Richard Nordsieck and Jörg Hähner. 2024. Measuring similarities in model structure of metaheuristic rule set learners. In Stephen Smith, João Correia, Christian Cintrano (Eds.). Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, held as part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, proceedings, Part II. Springer Nature, Cham, 256-272 DOI: 10.1007/978-3-031-56855-8_16
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Henning Cui, Michael Heider and Jörg Hähner. 2024. Positional bias does not influence Cartesian Genetic Programming with crossover. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tušar, Penousal Machado, Thomas Bäck (Eds.). Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, proceedings, part I. Springer, Cham, 151-167 DOI: 10.1007/978-3-031-70055-2_10
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Daniel Gerber, Lukas Meitz, Lukas Rosenbauer and Jörg Hähner. 2024. Unsupervised anomaly detection in continuous integration pipelines. In Hermann Kaindl, Mike Mannion, Leszek Maciaszek (Eds.). Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE, April 28-29, 2024, in Angers, France. SciTePress, Setúbal, 336-343 DOI: 10.5220/0012618500003687
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Henning Cui, Markus Görlich-Bucher, Lukas Rosenbauer, Jörg Hähner and Daniel Gerber. 2023. A concept for optimizing motor control parameters using Bayesian optimization. In Giuseppina Gini, Henk Nijmeijer, Dimitar Filev (Eds.). Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - ICINCO, November 13-15, 2023, in Rome, Italy, Volume 1. SciTePress, Setúbal, 107-114 DOI: 10.5220/0012093700003543
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Markus Görlich-Bucher, Michael Heider, Tobias Ciemala and Jörg Hähner. 2023. A decision-theoretic approach for prioritizing maintenance activities in organic computing systems. Lecture Notes in Computer Science 13949, 37-47. DOI: 10.1007/978-3-031-42785-5_3
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Architecture of Computing Systems: 36th International Conference, ARCS 2023, Athens, Greece, June 13–15, 2023, Proceedings. Edited by Georgios Goumas, Sven Tomforde, Jürgen Brehm, Stefan Wildermann, Thilo Pionteck.

Helena Stegherr, Leopold Luley, Jonathan Wurth, Michael Heider and Jörg Hähner. 2023. A framework for modular construction and evaluation of metaheuristics. Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg 2023-01. Institut für Informatik, Universität Augsburg, Augsburg.
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Michael Heider, David Pätzel, Helena Stegherr and Jörg Hähner. 2023. A metaheuristic perspective on learning classifier systems. In Mansour Eddaly, Bassem Jarboui and Patrick Siarry (Ed.). Metaheuristics for machine learning: new advances and tools. Springer, Singapore (Computational Intelligence Methods and Applications (CIMA)), 73-98. DOI: 10.1007/978-981-19-3888-7_3
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Michael Heider, Helena Stegherr, Richard Nordsieck and Jörg Hähner. 2023. Assessing model requirements for explainable AI: a template and exemplary case study. Artificial Life 29, 4, 468-486. DOI: 10.1162/artl_a_00414
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Helena Stegherr, Michael Heider and Jörg Hähner. 2023. Assisting convergence behaviour characterisation with unsupervised clustering. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 108-118 DOI: 10.5220/0012202100003595
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Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger and Jörg Hähner. 2023. Discovering rules for rule-based machine learning with the help of novelty search. SN Computer Science 4, 6, 778. DOI: 10.1007/s42979-023-02198-x
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Henning Cui, Andreas Margraf and Jörg Hähner. 2023. Equidistant Reorder operator for Cartesian Genetic Programming. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 64-74 DOI: 10.5220/0012174100003595
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Daniel Gerber, Lukas Rosenbauer, Pia Lindner, Johannes Maier, Anthony Stein and Jörg Hähner. 2023. Evolutionary touch filter chain calibration. SN Computer Science 4, 1, 26. DOI: 10.1007/s42979-022-01375-8
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Andreas Margraf, Henning Cui, Anthony Stein and Jörg Hähner. 2023. Evolving processing pipelines for industrial imaging with Cartesian Genetic Programming. In Peter Lewis, Marin Litoiu, Ivana Dusparic, Barry Porter, Norha M. Villegas (Eds.). 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 25-29 September 2023, Toronto, ON, Canada. IEEE, Piscataway, NJ, 133-138 DOI: 10.1109/ACSOS58161.2023.00031
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Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley and Jörg Hähner. 2023. Fast, flexible, and fearless: a rust framework for the modular construction of metaheuristics. In Sara Silva, Luís Paquete (Eds.). GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, Lisbon, Portugal, July 15-19, 2023. ACM, New York, NY, 1900-1909 DOI: 10.1145/3583133.3596335
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Andreas Margraf, Henning Cui, Stefan Baumann and Jörg Hähner. 2023. Filter evolution using Cartesian genetic programming for time series anomaly detection. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 300-307 DOI: 10.5220/0012210700003595
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Neele Kemper, Michael Heider, Dirk Pietruschka and Jörg Hähner. in press. Forecasting of residential unit's heat demands: a comparison of machine learning techniques in a real-world case study. Enery Systems . DOI: 10.1007/s12667-023-00579-y
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Andreas Margraf, Henning Cui, Simon Heimbach, Jörg Hähner, Steffen Geinitz and Stephan Rudolph. 2023. Model-driven optimisation of monitoring system configurations for batch production. In Francisco José Domínguez Mayo, Luís Ferreira Pires, Edwin Seidewitz (Eds.). Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering MODELSWARD 2023, February 19-21, 2023, in Lisbon, Portugal. SciTePress, Setúbal, 176-183 DOI: 10.5220/0011688900003402
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Lukas Meitz, Michael Heider, Thorsten Schöler and Jörg Hähner. 2023. On data-preprocessing for effective predictive maintenance on multi-purpose machines. In Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea (Eds.). Proceedings of the 12th International Conference on Data Science, Technology and Applications, July 11-13, 2023, in Rome, Italy. SciTePress, Setúbal, 606-612 DOI: 10.5220/0012146700003541
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Markus Görlich-Bucher, Michael Heider and Jörg Hähner. 2023. Predicting physical disturbances in organic computing systems using automated machine learning. Lecture Notes in Computer Science 13949, 48-62. DOI: 10.1007/978-3-031-42785-5_4
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Architecture of Computing Systems: 36th International Conference, ARCS 2023, Athens, Greece, June 13–15, 2023, Proceedings. Edited by Georgios Goumas, Sven Tomforde, Jürgen Brehm, Stefan Wildermann, Thilo Pionteck.

Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth and Jörg Hähner. 2023. SupRB in the context of rule-based machine learning methods: a comparative study. Applied Soft Computing 147, 110706. DOI: 10.1016/j.asoc.2023.110706
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David Pätzel, Michael Heider and Jörg Hähner. 2023. Towards principled synthetic benchmarks for explainable rule set learning algorithms. In Sara Silva, Luís Paquete (Eds.). GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation, Lisbon, Portugal, July 15-19, 2023. ACM, New York, NY, 1657-1662 DOI: 10.1145/3583133.3596416
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Tobias Wittmeir, Michael Heider, André Schweiger, Michaela Krä, Jörg Hähner, Johannes Schilp and Joachim Berlak. 2023. Towards robustness of production planning and control against supply chain disruptions. In David Herberger, Marco Hübner, Volker Stich (Eds.). Proceedings of the Conference on Production Systems and Logistics: CPSL 2023. publish-Ing., Hannover, 65-75 DOI: 10.15488/13425
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Henning Cui, Andreas Margraf, Michael Heider and Jörg Hähner. 2023. Towards understanding crossover for Cartesian Genetic Programming. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 308-314 DOI: 10.5220/0012231400003595
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Henning Cui, David Pätzel, Andreas Margraf and Jörg Hähner. 2023. Weighted mutation of connections to mitigate search space limitations in Cartesian Genetic Programming. In FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 30 August - 1 September 2023, Potsdam, Germany. Association for Computing Machinery, New York, NY, 50-60 DOI: 10.1145/3594805.3607130
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Richard Nordsieck, Michael Heider, Anton Hummel and Jörg Hähner. 2022. A closer look at sum-based embeddings for knowledge graphs containing procedural knowledge. In Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero (Eds.). DL4KG 2022 - Deep Learning for Knowledge Graphs 2022: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), virtual conference, online, October 24, 2022. CEUR-WS, Aachen, 7
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2022. A germinal center artificial immune system for black box test selection. SN Computer Science 4, 1, 55. DOI: 10.1007/s42979-022-01474-6
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Lukas Rosenbauer, David Pätzel, Anthony Stein and Jörg Hähner. 2022. A learning classifier system for automated test case prioritization and selection. SN Computer Science 3, 5, 373. DOI: 10.1007/s42979-022-01255-1
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Correction: 01.09.2022 https://doi.org/10.1007/s42979-022-01352-1

Maximilian Gruber, Wenzel Baron Pilar von Pilchau, Varun Gowtham, Nikolaos-Stefanos Koutrakis, Nicolas Schonborn, Sascha Eichstadt, Jörg Hähner, Marius-Iulian Corici, Thomas Magedanz, Julian Polte and Eckart Uhlmann. 2022. Application of uncertainty-aware sensor fusion in physical sensor networks. In Branislav Djokic, Shervin Shirmohammadi, Miodrag Bolic, Hilmi Dajani (Eds.). 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Ottawa, ON, Canada, 16-19 May 2022. IEEE, Piscataway, NJ, 1-6 DOI: 10.1109/i2mtc48687.2022.9806580
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Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger and Jörg Hähner. 2022. Approaches for rule discovery in a learning classifier system. In Thomas Bäck, Bas van Stein, Christian Wagner, Jonathan Garibaldi, H. K. Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick, Janusz Kacprzyk (Eds.). Proceedings of the 14th International Joint Conference on Computational Intelligence, October 24-26, 2022, in Valletta, Malta. SciTePress, Setúbal, 39-49 DOI: 10.5220/0011542000003332
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Helena Stegherr, Michael Heider and Jörg Hähner. 2022. Classifying metaheuristics: towards a unified multi-level classification system. Natural Computing 21, 155-171. DOI: 10.1007/s11047-020-09824-0
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Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj and Jörg Hähner. 2022. Comparing different metaheuristics for model selection in a supervised learning classifier system. Proceedings of the Genetic and Evolutionary Computation Conference Companion 316-319. DOI: 10.1145/3520304.3529015
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Nikolaos-Stefanos Koutrakis, Varun Gowtham, Wenzel Baron Pilar von Pilchau, Thomas Josef Jung, Julian Polte, Jörg Hähner, Marius-Iulian Corici, Thomas Magedanz and Eckart Uhlmann. 2022. Harmonization of heterogeneous asset administration shells. Procedia CIRP 107, 95-100. DOI: 10.1016/j.procir.2022.04.016
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Wenzel Baron Pilar von Pilchau, Anthony Stein and Jörg Hähner. 2022. Interpolated experience replay for continuous environments. In Thomas Bäck, Bas van Stein, Christian Wagner, Jonathan Garibaldi, H. K. Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick and Janusz Kacprzyk (Ed.). Proceedings of the 14th International Joint Conference on Computational Intelligence, October 24-26, 2022, in Valletta, Malta - Volume 1: NCTA. SciTePress, Setúbal, 237-248. DOI: 10.5220/0011326900003332
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Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj and Jörg Hähner. 2022. Investigating the impact of independent rule fitnesses in a learning classifier system. Lecture Notes in Computer Science 13627, 142-156. DOI: 10.1007/978-3-031-21094-5_11
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Published in: Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17–18, 2022, Proceedings. Edited by Marjan Mernik, Tome Eftimov, Matej Črepinšek

Henning Cui, Andreas Margraf and Jörg Hähner. 2022. Refining mutation variants in Cartesian genetic programming. Lecture Notes in Computer Science 13627, 185-200. DOI: 10.1007/978-3-031-21094-5_14
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Published in: Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17–18, 2022, Proceedings. Edited by Marjan Mernik, Tome Eftimov, Matej Črepinšek

Richard Nordsieck, Michael Heider, Alwin Hoffmann and Jörg Hähner. 2022. Reliability-based aggregation of heterogeneous knowledge to assist operators in manufacturing. 2022 IEEE 16th International Conference on Semantic Computing (ICSC) 131-138. DOI: 10.1109/icsc52841.2022.00027
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Wenzel Baron Pilar von Pilchau, Anthony Stein and Jörg Hähner. 2022. Semi-model-based reinforcement learning in organic computing systems. In Martin Schulz, Carsten Trinitis, Nikela Papadopoulou, Thilo Pionteck (Eds.). Architecture of Computing Systems: 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13–15, 2022, Proceedings. Springer, Cham, 241-255 DOI: 10.1007/978-3-031-21867-5_16
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Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj and Jörg Hähner. 2022. Separating rule discovery and global solution composition in a learning classifier system. Proceedings of the Genetic and Evolutionary Computation Conference Companion 248-251. DOI: 10.1145/3520304.3529014
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David Pätzel and Jörg Hähner. 2022. The Bayesian learning classifier system: implementation, replicability, comparison with XCSF. In Jonathan E. Fieldsend, Markus Wagner (Eds.). GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, July 9-13, 2022, Boston, MA, USA. ACM, New York, NY, 413-421 DOI: 10.1145/3512290.3528736
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Richard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann and Jörg Hähner. 2022. Towards models of conceptual and procedural operator knowledge. In Arild Waaler, Evgeny Kharlamov, Baifan Zhou, Dongzhuoran Zhou (Eds.). SemIIM 2022 - International Workshop on Semantic Industrial Information Modelling 2022: Proceedings of the First International Workshop on Semantic Industrial Information Modelling (SemIIM 2022) co-located with the 19th Extended Semantic Web Conference ESWC 2022, Greece, Crete, 30 May 2022. CEUR-WS, Aachen
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Markus Görlich-Bucher and Jörg Hähner. 2022. XCSF under limited supervision. In Jonathan E. Fieldsend, Markus Wagner (Eds.). GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, July 9-13, 2022, Boston, MA, USA. ACM, New York, NY, 2080-2085 DOI: 10.1145/3520304.3534046
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Richard Sailer and Jörg Hähner. 2021. A comprehensive evaluation of different approaches to tunnelling over multiple paths. In Eyuphan Bulut (Ed.). IEEE 46th Conference on Local Computer Networks (LCN), 4-7 October 2021, virtual. IEEE, Piscataway, NJ, 391-394 DOI: 10.1109/lcn52139.2021.9524943
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2021. A genetic algorithm for HMI test infrastructure fine tuning. In Oleg Gusikhin, Henk Nijmeijer and Kurosh Madani (Ed.). Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, ICINCO. SciTePress, Setúbal, 367-374. DOI: 10.5220/0010512803670374
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2021. A germinal centre artificial immune system for software test suite reduction. In Anthony Stein, Sven Tomforde, Jean Botev and Peter Lewis (Ed.). LIFELIKE 2020 & LIFELIKE 2021, Lifelike Computing Systems Workshop 2020 and 2021: Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2020 Conference on Artificial Life (ALIFE 2020), Online, July 16th, 2020, and the LIFELIKE 2021 - 9th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2021 Conference on Artificial Life (ALIFE 2021), Online, July 19th, 2021. CEUR-WS (CEUR Workshop Proceedings ; Vol-3007)
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V. Gowtham, A. Willner, Wenzel Baron Pilar von Pilchau, Jörg Hähner, M. Riedl, N.-S. Koutrakis, J. Polte, E. Uhlmann, J. Tayub and V. Frey. 2021. A reference architecture enabling sensor networks based on homogeneous AASs. In 22. Leitkongress der Mess- und Automatisierungstechnik - Automation 2021: Navigating towards resilient production. VDI Verlag, Düsseldorf (VDI-Berichte ; 2392), 5-16. DOI: 10.51202/9783181023921-5
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2021. An artificial immune system for black box test case selection. In EvoCop: 21st European Conference on Evolutionary Computation in Combinatorial Optimisation as part of evostar 2021, April 2021, Seville, Spain. Springer Nature, 169-184 DOI: 10.1007/978-3-030-72904-2_11
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Lukas Rosenbauer, Johannes Maier, Daniel Gerber, Anthony Stein and Jörg Hähner. 2021. An evolutionary calibration approach for touch interface filter chains. In Oleg Gusikhin, Henk Nijmeijer and Kurosh Madani (Ed.). Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO. SciTePress, Setúbal, 29-38. DOI: 10.5220/0010512900290038
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Lukas Rosenbauer, David Pätzel, Anthony Stein and Jörg Hähner. 2021. An organic computing system for automated testing. In Christian Hochberger, Lars Bauer and Thilo Pionteck (Ed.). Architecture of computing systems. Springer International Publishing, Cham (LNTCS ; 12800), 135-149. DOI: 10.1007/978-3-030-81682-7_9
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Helena Stegherr and Jörg Hähner. 2021. Analysing metaheuristic components. In Anthony Stein, Sven Tomforde, Jean Botev and Peter Lewis (Ed.). LIFELIKE 2020 & LIFELIKE 2021, Lifelike Computing Systems Workshop 2020 and 2021: Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2020 Conference on Artificial Life (ALIFE 2020), Online, July 16th, 2020, and the LIFELIKE 2021 - 9th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2021 Conference on Artificial Life (ALIFE 2021), Online, July 19th, 2021. CEUR-WS (CEUR Workshop Proceedings ; Vol-3007)
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Andreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich and Jörg Hähner. 2021. CAD-based grasp and motion planning for process automation in fused deposition modelling. In Oleg Gusikhin, Henk Nijmeijer and Kurosh Madani (Ed.). Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, July 6-8, 2021. SciTePress, Setúbal, 450-458. DOI: 10.5220/0010571204500458
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M. Gruber, S. Eichstädt, Wenzel Baron Pilar von Pilchau, Jörg Hähner, V. Gowtham, A. Willner, N. Koutrakis, J. Polte and M. Riedl. 2021. D2.2 Uncertainty-aware sensor fusion in sensor networks. In Gerald Gerlach and Klaus-Dieter Sommer (Ed.). SMSI 2021 - Measurement Science. AMA Service, Wunstorf, 246-247. DOI: 10.5162/smsi2021/d2.2
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Helena Stegherr, Michael Heider, Leopold Luley and Jörg Hähner. 2021. Design of large-scale metaheuristic component studies. In Francisco Chicano and Krzysztof Krawiec (Ed.). Proceedings of the Genetic and Evolutionary Computation Conference Companion, Lille, France, July 10 - 14, 2021. ACM, New York, NY, 1217-1226. DOI: 10.1145/3449726.3463168
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Richard Sailer and Jörg Hähner. 2021. Flow-aware Low-Latency Multipath Tunnelling. In Lyes Khoukhi, Sharief Oteafy, Eyuphan Bulut (Eds.). IEEE 46th Conference on Local Computer Networks (LCN), 4-7 October 2021, virtual. IEEE, Piscataway, NJ, 383-386 DOI: 10.1109/lcn52139.2021.9525025
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Richard Sailer and Jörg Hähner. 2021. HTMT: High-Throughput Multipath Tunnelling for asymmetric paths. In Raimo Kantola, Lars Eggert (Eds.). IFIP Networking Conference (IFIP Networking), 21-24 June 2021, Espoo and Helsinki, Finland. IEEE, Piscataway, NJ, 1-3 DOI: 10.23919/ifipnetworking52078.2021.9472781
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Richard Nordsieck, Michael Heider, Anton Winschel and Jörg Hähner. 2021. Knowledge extraction via decentralized knowledge graph aggregation. In Dick Bulterman, Atsushi Kitazawa, David Ostrowski, Phillip Sheu and Jeffrey Tsai (Ed.). 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 27-29 January 2021, Laguna Hills, CA, USA. IEEE, Piscataway, NJ, 92-99. DOI: 10.1109/icsc50631.2021.00024
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Michael Heider, Richard Nordsieck and Jörg Hähner. 2021. Learning classifier systems for self-explaining socio-technical-systems. In Anthony Stein, Sven Tomforde, Jean Botev, Peter Lewis (Eds.). LIFELIKE 2020 & LIFELIKE 2021, Lifelike Computing Systems Workshop 2020 and 2021: Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2020 Conference on Artificial Life (ALIFE 2020), Online, July 16th, 2020, and the LIFELIKE 2021 - 9th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2021 Conference on Artificial Life (ALIFE 2021), Online, July 19th, 2021. CEUR-WS
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Wenzel Baron Pilar von Pilchau, Anthony Stein and Jörg Hähner. 2021. Synthetic experiences for accelerating DQN performance in discrete non-deterministic environments. Algorithms 14, 8, 226. DOI: 10.3390/a14080226
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Lukas Rosenbauer, David Pätzel, Anthony Stein and Jörg Hähner. 2021. Transfer learning for automated test case prioritization using XCSF. In Applications of Evolutionary Computation: EvoApplications 2021. Springer, Cham, 681-696 DOI: 10.1007/978-3-030-72699-7_43
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2020. A germinal center artificial immune system for software test suite reduction. In LIFELIKE Computing Systems Workshop, 8th Edition in the Evolution of the Series of Autonomously Learning and Optimizing Systems (SAOS), at Artificial Life Conference, 16 July 2020, held entirely virtual due to COVID-19 as part of ALIFE 2020, Montréal, Canada.
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Wenzel Baron Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey and Alexander Willner. 2020. An architectural design for measurement uncertainty evaluation in cyber-physical systems. In M. Ganzha, L. Maciaszek and M. Paprzycki (Ed.). Annals of Computer Science and Information Systems, Volume 22: Position Papers of the 2020 Federated Conference on Computer Science and Information Systems. PTI - Polish Information Processing Society, Warsaw, 53-57. DOI: 10.15439/2020f203
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2020. An artificial immune system for adaptive test selection. In Hussein Abbass, Carlos A. Coello Coello and Hemant Kumar Singh (Ed.). 2020 IEEE Symposium Series on Computational Intelligence (SSCI), virtual event, Canberra, Australia, 1-4 December 2020. IEEE, Piscataway, NJ, 2940-2947. DOI: 10.1109/ssci47803.2020.9308528
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Wenzel Baron Pilar von Pilchau, Anthony Stein and Jörg Hähner. 2020. Bootstrapping a DQN replay memory with synthetic experiences. In Juan Julian Merelo, Jonathan Garibaldi, Christian Wagner, Thomas Bäck, Kurosh Madani and Kevin Warwick (Ed.). Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020), November 2-4, 2020. SciTePress, Setúbal, 404-411. DOI: 10.5220/0010107904040411
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Richard Nordsieck, Michael Heider, Andreas Angerer and Jörg Hähner. 2020. Evaluating the effect of user-given guiding attention on the learning process. In Esam El-Araby, Sven Tomforde, Timothy Wood, Pradeep Kumar, Claudia Raibulet, Ioan Petri, Gabriele Valentini, Phyllis Nelson and Barry Porter (Ed.). 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 17-21 August 2020, Washington, DC, USA. IEEE, Piscataway, NJ, 215-221. DOI: 10.1109/acsos49614.2020.00044
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2020. Generic approaches for parallel rule matching in learning classifier systems. In Carlos Artemio Coello Coello (Ed.). Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, July 2020, Cancún, Mexico. ACM, New York, NY, 1789-1797. DOI: 10.1145/3377929.3398102
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Lukas Rosenbauer, Anthony Stein, Helena Stegherr and Jörg Hähner. 2020. Metaheuristics for the minimum set cover problem: a comparison. In Juan Julian Merelo, Jonathan Garibaldi, Christian Wagner, Thomas Bäck, Kurosh Madani and Kevin Warwick (Ed.). Proceedings of the 12th International Joint Conference on Computational Intelligence (ECTA), November 2-4, 2020. SciTePress, Setúbal, 123-130. DOI: 10.5220/0010019901230130
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Michael Heider, David Pätzel and Jörg Hähner. 2020. SupRB: a supervised rule-based learning system for continuous problems. preprint.
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Michael Heider, David Pätzel and Jörg Hähner. 2020. Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. In Carlos Artemio Coello Coello (Ed.). Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO '20), Cancún, Mexico, July 2020. ACM, New York, NY, 127-128. DOI: 10.1145/3377929.3389963
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Andreas Margraf, Jörg Hähner, Philipp Braml and Steffen Geinitz. 2020. Towards self-adaptive defect classification in industrial monitoring. In Slimane Hammoudi, Christoph Quix and Jorge Bernardino (Ed.). Proceedings of the 9th International Conference on Data Science, Technology and Applications (DATA), July 7-9, 2020. SciTePress, Setúbal, 318-327. DOI: 10.5220/0009893003180327
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Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel and Jörg Hähner. 2020. XCS as a reinforcement learning approach to automatic test case prioritization. In Carlos Artemio Coello Coello (Ed.). Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, July, 2020. ACM, New York, NY, 1798-1806. DOI: 10.1145/3377929.3398128
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Anthony Stein, Roland Maier, Lukas Rosenbauer and Jörg Hähner. 2020. XCS classifier system with experience replay. In Carlos Artemio Coello Coello (Ed.). Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Cancún, Mexico, July, 2020. ACM, New York, NY, 404-413. DOI: 10.1145/3377930.3390249
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Lukas Rosenbauer, Anthony Stein, David Pätzel and Jörg Hähner. 2020. XCSF for automatic test case prioritization. In Juan Julian Merelo, Jonathan Garibaldi, Christian Wagner, Thomas Bäck, Kurosh Madani and Kevin Warwick (Ed.). Proceedings of the 12th International Joint Conference on Computational Intelligence (ECTA), November 2-4, 2020. SciTePress, Setúbal, 49-58. DOI: 10.5220/0010105700490058
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Lukas Rosenbauer, Anthony Stein, David Pätzel and Jörg Hähner. 2020. XCSF with experience replay for automatic test case prioritization. In Hussein Abbass, Carlos A. Coello Coello and Hemant Kumar Singh (Ed.). 2020 IEEE Symposium Series on Computational Intelligence (SSCI), virtual event, Canberra, Australia, 1-4 December 2020. IEEE, Piscataway, NJ, 1307-1314. DOI: 10.1109/ssci47803.2020.9308379
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David Pätzel, Anthony Stein and Jörg Hähner. 2019. A survey of formal theoretical advances regarding XCS. In Manuel López-Ibáñez, Anne Auger and Thomas Stützle (Ed.). Proceedings of the Genetic and Evolutionary Computation Conference Companion - GECCO '19, Prague, Czech Republic, July 2019. ACM Press, New York, NY, 1295-1302. DOI: 10.1145/3319619.3326848
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Stefan Rudolph, Sven Tomforde and Jörg Hähner. 2019. Mutual influence-aware runtime learning of self-adaptation behavior. ACM Transactions on Autonomous and Adaptive Systems 14, 1, 4. DOI: 10.1145/3345319
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Helena Stegherr, Anthony Stein and Jörg Hähner. 2019. Parallel chemical reaction optimization for utilization in intelligent RNA prediction systems. In Carsten Trinitis, Thilo Pionteck (Eds.). Intelligent Systems Workshop, part of ARCS 2019: 32nd International Conference on Architecture of Computing Systems; workshop proceedings; May 20- 21, 2019, Technical University of Denmark, Copenhagen, Denmark. VDE Verlag, Berlin, 135-142
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Julius Brandl, Nicolas Breinl, Maximilian Demmler, Lukas Hartmann, Jörg Hähner and Anthony Stein. 2019. Reducing search space of genetic algorithms for fast black box attacks on image classifiers. Lecture Notes in Computer Science 11793, 115-122. DOI: 10.1007/978-3-030-30179-8_9
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Richard Nordsieck, Michael Heider, Andreas Angerer and Jörg Hähner. 2019. Towards automated parameter optimisation of machinery by persisting expert knowledge. In Oleg Gusikhin, Kurosh Madani and Janan Zaytoon (Ed.). Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO), July 29-31, 2019, Prague, Czech Republic. SciTePress, Setúbal, 406-413. DOI: 10.5220/0007953204060413
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Markus Görlich, Anthony Stein and Jörg Hähner. 2019. Towards physical disturbance robustness in organic computing systems using MOMDPs. In Workshop Proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, 20–23 May 2019, Copenhagen, Denmark. , 135-142
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Anthony Stein, Sven Tomforde, Ada Diaconescu, Jörg Hähner and Christian Muller-Schloer. 2018. A concept for proactive knowledge construction in self-learning autonomous systems. In 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 3-7 Sept. 2018, Trento, Italy. IEEE, Piscataway, NJ, 204-213. DOI: 10.1109/fas-w.2018.00048
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David Pätzel and Jörg Hähner. 2018. An algebraic description of XCS. In Hernan Aguirre and Keiki Takadama (Ed.). Proceedings of the Genetic and Evolutionary Computation Conference Companion - GECCO '18, Kyoto, Japan — July 15 - 19, 2018. ACM Press, New York, NY, 1434-1441. DOI: 10.1145/3205651.3208248
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Anthony Stein, Andreas Margraf, Jürgen Moroskow, Steffen Geinitz and Jörg Hähner. 2018. Toward an organic computing approach to automated design of processing pipelines. In Carsten Trinitis and Thilo Pionteck (Ed.). ARCS 2018: 31th International Conference on Architecture of Computing Systems; workshop proceedings; April, 9-12, 2018, Technische Universität Braunschweig, Braunschweig, Germany. VDE Verlag, Berlin, 135-142.
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Anthony Stein, Andreas Margraf, Jürgen Moroskow, Steffen Geinitz and Jörg Hähner. 2018. Toward an organic computing approach to automated design of processing ppelines. In Carsten Trinitis and Thilo Pionteck (Ed.). ARCS 2018: 31th International Conference on Architecture of Computing Systems, April 9 - 12, 2018, Technical University of Braunschweig, Braunschweig, Germany. VDE-Verlag, Berlin, 135-142.
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Anthony Stein, Simon Menssen and Jörg Hähner. 2018. What about interpolation? A radial basis function approach to classifier prediction modeling in XCSF. In Hernan Aguirre and Keiki Takadama (Ed.). Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '18, Kyoto, Japan — July 15 - 19, 2018. ACM Press, New York, NY, 537-544. DOI: 10.1145/3205455.3205599
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Anthony Stein, Simon Menssen and Jörg Hähner. 2018. What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. In Hernan Aguirre and Keiki Takadama (Ed.). Proceedings of the Genetic and Evolutionary Computation Conference - GECCO '18, July 2018, Kyoto, Japan. ACM Press, New York, NY, 537-544. DOI: 10.1145/3205455.3205599
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Matthias Sommer and Jörg Hähner. 2017. Adapting signal timings to automated incident alarms within a self-organised traffic control system. In Oleg Gusikhin, Markus Helfert and António Pascoal (Ed.). Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April 22-24, 2017, Porto, Portugal. SciTePress, Setúbal, 203-210. DOI: 10.5220/0006295602030210
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Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz and Jörg Hähner. 2017. An evolutionary learning approach to self-configuring image pipelines in the context of carbon fiber fault detection. In Xuewen Chen, Bo Luo, Feng Luo, Vasile Palade and M. Arif Wani (Ed.). 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 18-21 Dec. 2017, Cancun, Mexico. IEEE, Los Alamitos, Calif., 147-154. DOI: 10.1109/icmla.2017.0-165
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Sarah Edenhofer, Youssef Madkour, Anthony Stein, Christopher Stifter and Jörg Hähner. 2017. Bottom-up norm creation in open distributed computing grids by means of eXtended classifier systems. In Carsten Trinitis and Thilo Pionteck (Ed.). ARCS 2017: 30th GI/ITG International Conference on Architecture of Computing Systems April, 3-6, 2017, Vienna University of Technology, Vienna, Austria, Workshop Proceedings. VDE-Verlag, Berlin, 55-62.
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Sarah Edenhofer, Sven Tomforde, Darius Fischer, Jörg Hähner, Florian Menzel and Sebastian von Mammen. 2017. Decentralised trust-management inspired by ant pheromones. International Journal of Mobile Network Design and Innovation 7, 1, 46-55. DOI: 10.1504/ijmndi.2017.082804
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Anthony Stein, Dominik Rauh, Sven Tomforde and Jörg Hähner. 2017. Interpolation in the eXtended classifier system: an architectural perspective. Journal of Systems Architecture 75, 79-94. DOI: 10.1016/j.sysarc.2017.01.010
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Matthias Sommer and Jörg Hähner. 2017. Learning classifier systems for road traffic congestion detection. In Oleg Gusikhin, Markus Helfert and António Pascoal (Ed.). Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April 22-24, 2017, Porto, Portugal. SciTePress, Setúbal, 142-150. DOI: 10.5220/0006214101420150
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Anthony Stein, Stephan Rudolph, Sven Tomforde and Jörg Hähner. 2017. Self-learning smart cameras - harnessing the generalization capability of XCS. In Christophe Sabourin, Juan Julian Merelo, Ua-May O'Reilly, Kurosh Madani and Kevin Warwick (Ed.). Proceedings of International Joint Conference on Computational Intelligence (IJCCI) 2017, November 1-3, 2017, Funchal, Madeira, Portugal. SciTePress, Setúbal, 129-140. DOI: 10.5220/0006512101290140
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Christian Heintz, Moritz Grunwald, Sarah Edenhofer, Jörg Hähner and Sebastian von Mammen. 2017. The game of flow - cellular automaton-based fluid simulation for realtime interaction. In Morten Fjeld, Marco Fratarcangeli, Daniel Sjölie, Oliver Staadt and Jonas Unger (Ed.). Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology - VRST '17, Gothenburg, Sweden, November 08-10, 2017. ACM Press, New York, NY, 76. DOI: 10.1145/3139131.3143415
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Anthony Stein, Roland Maier and Jörg Hähner. 2017. Toward curious learning classifier systems: combining XCS with active learning concepts. In Proceedings of the Genetic and Evolutionary Computation Conference Companion - GECCO '17, Berlin, Germany — July 15 - 19, 2017. ACM Press, New York, NY, 1349-1356. DOI: 10.1145/3067695.3082488
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Jörg Hähner, Sebastian von Mammen, Sabine Timpf, Sven Tomforde, Bernhard Sick, Kurt Geihs, Gerd Stumme, Gerrit Hornung and Thilo Goeble. 2016. "Know thyselves" - computational self-reflection in collective technical systems. In ARCS 2016: 29th International Conference on Architecture of Computing Systems, 4-7 April 2016, Nuremberg, Germany. VDE-Verlag, Berlin
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Stefan Rudolph, Sven Tomforde and Jörg Hähner. 2016. A mutual influence-based learning algorithm. In Jaap van den Herik and Joaquim Filipe (Ed.). Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART), February 24-26, 2016, Rome, Italy. SciTePress, Setúbal, 181-189. DOI: 10.5220/0005697001810189
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2016. An Organic Computing Approach to Resilient Traffic Management. In Thomas Leo McCluskey, Apostolos Kotsialos, Jörg P. Müller, Franziska Klügl, Omer F. Rana and René Schumann (Ed.). Autonomic Road Transport Support Systems. Springer International, Cham (Autonomic Systems (ASYS)), 113-130. DOI: 10.1007/978-3-319-25808-9_7
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Sebastian von Mammen, Sven Tomforde and Jörg Hähner. 2016. An organic computing approach to self-organizing robot ensembles. Frontiers in Robotics and AI 3, 67. DOI: 10.3389/frobt.2016.00067
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Matthias Sommer and Jörg Hähner. 2016. Anticipatory Adaptation of Signalisation Based on Traffic Flow Forecasts within a Self-organised Traffic Control System. In M. Figueira and Z. Guo (Ed.). 2016 5th International Conference on Transportation and Traffic Engineering (ICTTE 2016), Lucerne, Switzerland, July 6-10, 2016. EDP Sciences, Les Ulis (MATEC Web of Conferences ; 81), 03006. DOI: 10.1051/matecconf/20168103006
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Anthony Stein, Dominik Rauh, Sven Tomforde and Jörg Hähner. 2016. Augmenting the algorithmic structure of XCS by means of interpolation. Lecture Notes in Computer Science 9637, 348-360. DOI: 10.1007/978-3-319-30695-7_26
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Sarah Edenhofer, Christopher Stifter, Youssef Madkour, Sven Tomforde, Jan Kantert, Christian Müller-Schloer and Jörg Hähner. 2016. Bottom-Up Norm Adjustment in Open, Heterogeneous Agent Societies. In Sameh Elnikety, Peter R. Lewis and Christian Müller-Schloer (Ed.). 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 12-16 Sept. 2016, Augsburg, Germany. IEEE, Los Alamitos, Calif., 36-41. DOI: 10.1109/fas-w.2016.21
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Jörg Hähner, Klement Streit and Sven Tomforde. 2016. Cellular traffic offloading through network-assisted ad-hoc routing in cellular networks. In Antonio Corradi, Sartaj Sahni and Massimo Villari (Ed.). 2016 IEEE Symposium on Computers and Communication (ISCC), 27-30 June 2016, Messina, Italy. IEEE, Los Alamitos, Calif., 469-476. DOI: 10.1109/iscc.2016.7543783
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Stefan Rudolph, Rainer Hihn, Sven Tomforde and Jörg Hähner. 2016. Comparison of Dependency Measures for the Detection of Mutual Influences in Organic Computing Systems. Lecture Notes in Computer Science 9637, 334-347. DOI: 10.1007/978-3-319-30695-7_25
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Sarah Edenhofer, Christopher Stifter, Sven Tomforde, Jan Kantert, Christian Müller-Schloer and Jörg Hähner. 2016. Comparison of surveillance strategies to identify undesirable behaviour in multi-agent systems. In Jaap van den Herik and Joaquim Filipe (Ed.). Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART), February 24-26, 2016, Rome, Italy. SciTePress, Setúbal, 132-140. DOI: 10.5220/0005679201320140
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Jan Kantert, Sven Tomforde, Melanie Kauder, Richard Scharrer, Sarah Edenhofer, Jörg Hähner and Christian Müller-Schloer. 2016. Controlling Negative Emergent Behavior by Graph Analysis at Runtime. ACM Transactions on Autonomous and Adaptive Systems 11, 2, 7. DOI: 10.1145/2890507
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Anthony Stein, Sven Tomforde, Dominik Rauh and Jörg Hähner. 2016. Dealing with unforeseen situations in the context of self-adaptive urban traffic control: how to bridge the gap. In Samuel Kounev, Holger Giese, Jie Liu (Eds.). Proceedings: 2016 IEEE International Conference on Autonomic Computing (ICAC), 17-22 July 2016, Würzburg, Germany. IEEE, Piscataway, NJ, 167-172 DOI: 10.1109/icac.2016.20
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Stefan Rudolph, Sebastian von Mammen, Johannes Jungbluth and Jörg Hähner. 2016. Design and Evaluation of an Extended Learning Classifier-Based StarCraft Micro AI. Lecture Notes in Computer Science 9597, 669-681. DOI: 10.1007/978-3-319-31204-0_43
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Matthias Sommer, Anthony Stein and Jörg Hähner. 2016. Ensemble time series forecasting with XCSF. In Giacomo Cabri, Gauthier Picard and Niranjan Suri (Ed.). 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), 12-16 Sept. 2016, Augsburg, Germany. IEEE, Los Alamitos, Calif., 150-151. DOI: 10.1109/saso.2016.25
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2016. Forecast-augmented route guidance in urban traffic networks based on infrastructure observations. In Markus Helfert, Oleg Gusikhin (Eds.). Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS, April 23-24, 2016, in Rome, Italy. SciTePress, Setúbal, 177-186 DOI: 10.5220/0005741901770186
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Anthony Stein, Christian Eymüller, Dominik Rauh, Sven Tomforde and Jörg Hähner. 2016. Interpolation-based classifier generation in XCSF. In Yew Soon Ong (Ed.). 2016 IEEE Congress on Evolutionary Computation (CEC), 24-29 July 2016, Vancouver, BC, Canada. IEEE, Los Alamitos, CA, 3990-3998. DOI: 10.1109/cec.2016.7744296
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Matthias Sommer, Anthony Stein and Jörg Hähner. 2016. Local ensemble weighting in the context of time series forecasting using XCSF. In Yaochu Jin and Stefanos Kollias (Ed.). 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 6-9 Dec. 2016, Athens, Greece. IEEE, Los Alamitos, Calif. DOI: 10.1109/ssci.2016.7849974
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Stefan Rudolph, Jan Kantert, Uwe Jaenen, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2016. Measuring Self-Organisation Processes in Smart Camera Networks. In ARCS 2016: 29th International Conference on Architecture of Computing Systems, Nuremberg, Germany. VDE-Verlag, Berlin u.a.
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Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2016. Normative control: controlling open distributed systems with autonomous entities. In Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer and Theo Ungerer (Ed.). Trustworthy Open Self-Organising Systems. Springer, Cham (Autonomic Systems (ASYS)), 89-126. DOI: 10.1007/978-3-319-29201-4_4
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Matthias Sommer, Michael Klink, Sven Tomforde and Jörg Hähner. 2016. Predictive load balancing in cloud computing environments based on ensemble forecasting. In Samuel Kounev, Holger Giese, Jie Liu (Eds.). 2016 IEEE International Conference on Autonomic Computing (ICAC), 17-22 July 2016, Würzburg, Germany. IEEE, Los Alamitos, Calif., 300-307 DOI: 10.1109/icac.2016.16
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Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Wolfgang Reif, Elisabeth André, Jörg Hähner, Christian Müller-Schloer and Theo Ungerer. 2016. The social concept of trust as enabler for robustness in open self-organising systems. In Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer and Theo Ungerer (Ed.). Trustworthy Open Self-Organising Systems. Springer, Cham (Autonomic Systems (ASYS)), 1-16. DOI: 10.1007/978-3-319-29201-4_1
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Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick and Sven Tomforde. 2016. Towards Autonomous Self-Tests at Runtime. In Sameh Elnikety, Peter R. Lewis and Christian Müller-Schloer (Ed.). 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 12-16 Sept. 2016, Augsburg, Germany. IEEE, Los Alamitos, Calif., 98-99. DOI: 10.1109/fas-w.2016.32
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Sarah Edenhofer, Sven Tomforde, Jan Kantert, Lukas Klejnowski, Yvonne Bernard, Jörg Hähner and Christian Müller-Schloer. 2016. Trust communities: an open, self-organised social infrastructure of autonomous agents. In Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer and Theo Ungerer (Ed.). Trustworthy Open Self-Organising Systems. Springer, Cham (Autonomic Systems (ASYS)), 127-152. DOI: 10.1007/978-3-319-29201-4_5
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Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer and Theo Ungerer (Ed.). 2016. Trustworthy open self-organising systems. Springer, Cham (Autonomic Systems (ASYS)). DOI: 10.1007/978-3-319-29201-4
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Stefan Rudolph, Sven Tomforde, Bernhard Sick and Jörg Hähner. 2015. A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement. In Jan-Philipp Steghöfer, Emma Hart and Gregory T. Sullivan (Ed.). 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems, 21-25 Sept. 2015, Cambridge, MA, USA. IEEE, Los Alamitos, Calif., 144-149. DOI: 10.1109/saso.2015.23
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2015. A Systematic Study on Forecasting of Traffic Flows with Artificial Neural Networks. In Proceedings of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, 24 – 27 March 2015, Porto, Portugal, Workshop on Self-Optimisation in Organic and Autonomic Computing Systems (SAOS15). VDE-Verlag, Berlin u.a.
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Christian Gruhl, Bernhard Sick, Arno Wacker, Sven Tomforde and Jörg Hähner. 2015. A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection. In Fengwen Wang and Xin Zhu (Ed.). 2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST), 22-24 Sept. 2015, Qinhuangdao, China. IEEE, Los Alamitos, Calif., 194-200. DOI: 10.1109/icawst.2015.7314046
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Sarah Edenhofer, Christopher Stifter, Uwe Janen, Jan Kantert, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2015. An Accusation-Based Strategy to Handle Undesirable Behaviour in Multi-agent Systems. In Philippe Lalanda, Ada Diaconescu, Lucy Cherkasova and Samuel Kounev (Ed.). 2015 IEEE International Conference on Autonomic Computing, 7-10 July 2015, Grenoble, France. IEEE, Los Alamitos, Calif., 243-248. DOI: 10.1109/icac.2015.69
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Stefan Rudolph, Sven Tomforde, Bernhard Sick, Henner Heck, Arno Wacker and Jörg Hähner. 2015. An Online Influence Detection Algorithm for Organic Computing Systems. In Proceedings of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, 24 – 27 March 2015, Porto, Portugal, Workshop on Self-Optimisation in Organic and Autonomic Computing Systems (SAOS15). VDE-Verlag, Berlin u.a.
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Jörg Hähner, Sebastian von Mammen and Sven Tomforde. 2015. Autonomous Self-Integration in Interwoven Systems. In 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops.
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Sebastian von Mammen, Sarah Edenhofer and Jörg Hähner. 2015. CoSMoS in the Interactive Simulation Curriculum. In Susan Stepney and Paul S. Andrews (Ed.). CoSMoS 2015: 8th Complex Systems Modelling and Simulation Workshop: Satellite workshop held on Wednesday 20th July 2015, University of York, York, UK. Luniver Press, Frome, 85-106.
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Sven Tomforde, Jan Kantert, Sebastian von Mammen and Jörg Hähner. 2015. Cooperative self-optimisation of network protocol parameters at runtime. In Joaquim Filipe, Kurosh Madani, Oleg Gusikhin, Jurek Sasiadek (Eds.). Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, July 21-23, 2015, in Colmar, Alsace, France. SciTePress, Setúbal, 123-130 DOI: 10.5220/0005520701230130
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Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2015. Defending autonomous agents against attacks in multi-agent systems using norms. In Stephane Loiseau, Joaquim Filipe, Beatrice Duval, Jaap van den Herik (Eds.). Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART-2015), Lisabon, Portugal, 10-12 January 2015. SciTePress, Setúbal, 149-156 DOI: 10.5220/0005202101490156
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Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2015. Detecting and isolating inconsistently behaving agents using an intelligent control loop. In Joaquim Filipe, Kurosh Madani, Oleg Gusikhin, Jurek Sasiadek (Eds.). Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, July 21-23, 2015, in Colmar, Alsace, France. SciTePress, Setúbal, 246-253 DOI: 10.5220/0005548402460253
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Jan Kantert, Henning Spiegelberg, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2015. Distributed Rendering in an Open Self-Organised Trusted Desktop Grid. In Philippe Lalanda, Ada Diaconescu, Lucy Cherkasova and Samuel Kounev (Ed.). 2015 IEEE International Conference on Autonomic Computing, 7-10 July 2015, Grenoble, France. IEEE, Los Alamitos, Calif. DOI: 10.1109/icac.2015.66
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2015. Forecast-based Route Recommendations in Organic Traffic Control. In Proceedings of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, 24-27 March 2015, Porto, Portugal. VDE-Verlag, Berlin u.a., 11-12
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Jan Kantert, Sergej Wildemann, Georg von Zengen, Sarah Edenhofer, Sven Tomforde, Lars Wolf, Jörg Hähner and Christian Müller-Schloer. 2015. Improving Reliability and Endurance Using End-to-End Trust in Distributed Low-Power Sensor Networks. Lecture Notes in Computer Science 9017, 135-145. DOI: 10.1007/978-3-319-16086-3_11
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2015. Learning a Dynamic Re-combination Strategy of Forecast Techniques at Runtime. In Philippe Lalanda, Ada Diaconescu, Lucy Cherkasova and Samuel Kounev (Ed.). 2015 IEEE International Conference on Autonomic Computing, 7-10 July 2015, Grenoble, France. IEEE, Piscataway, NJ, 261-266. DOI: 10.1109/icac.2015.70
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Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2015. Norm-based System Control in Distributed Low-Power Sensor Networks. In 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Poster Session.
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Adnan Al-Anbuky, Stefan Rudolph, Jörg Hähner and Sven Tomforde. 2015. Public Space Ambient Intelligence Systems: Benefits, Approaches and Challenges. In Proceedings of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, 24 – 27 March 2015, Porto, Portugal, Workshop on Self-Optimisation in Organic and Autonomic Computing Systems (SAOS15). VDE-Verlag, Berlin u.a.
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Jörg Hähner, Uwe Brinkschulte, Paul Lukowicz, Sanaz Mostaghim, Bernhard Sick and Sven Tomforde. 2015. Runtime Self-Integration as Key Challenge for Mastering Interwoven Systems. In Proceedings of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, 24 – 27 March 2015, Porto, Portugal, Workshop on Self-Optimisation in Organic and Autonomic Computing Systems (SAOS15). VDE-Verlag, Berlin u.a., 1-8
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Carsten Grenz, Uwe Jänen, Jonas Winizuk and Jörg Hähner. 2015. Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 155, 161-172. DOI: 10.1007/978-3-319-25067-0_13
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Stefan Rudolph, Daniel Mayrock, Sven Tomforde and Jörg Hähner. 2015. Startcraft: An Organic Computing Testbed. In Proceedings of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, 24 – 27 March 2015, Porto, Portugal. VDE-Verlag, Berlin u.a., 23-24
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Uwe Jänen, Carsten Grenz, Sarah Edenhofer, Anthony Stein, Jürgen Brehm and Jörg Hähner. 2015. Task execution in distributed smart systems. Lecture Notes in Computer Science 9258, 103-117. DOI: 10.1007/978-3-319-23237-9_10
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Sven Tomforde, Klement Streit and Jörg Hähner. 2015. Towards Ad-hoc Device-to-Device Routing in Cellular Networks. In 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops.
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Sven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick and Kurt Geihs. 2014. "Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems. In Jan-Philipp Steghöfer and Didac Busquets (Ed.). 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 8-12 Sept. 2014, London, UK. IEEE, Los Alamitos, Calif., 150-159. DOI: 10.1109/sasow.2014.25
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Jan Kantert, Hannes Scharf, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2014. A Graph Analysis Approach to Detect Attacks in Multi-agent Systems at Runtime. In Ada Diaconescu, Nagarajan Kandasamy and Mirko Viroli (Ed.). 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems, 8-12 Sept. 2014, London, UK. IEEE, Los Alamitos, Calif., 80-89. DOI: 10.1109/saso.2014.20
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Carsten Grenz, Sven Tomforde and Jörg Hähner. 2014. Access-Centric In-Network Storage Optimization in Distributed Sensing Networks. In Paolo Spagnolo, Pier Luigi Mazzeo and Cosimo Distante (Ed.). Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors. Springer International, Cham, 19-44. DOI: 10.1007/978-3-319-10807-0_2
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Sarah Edenhofer, Jan Kantert, Lukas Klejnowski, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2014. Advanced Attacks to Trusted Communities in Multi-agent Systems. In Jan-Philipp Steghöfer and Didac Busquets (Ed.). 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 8-12 Sept. 2014, London, UK. IEEE, Los Alamitos, Calif., 186-191. DOI: 10.1109/sasow.2014.29
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Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker and Ingo Scholtes. 2014. Engineering and mastering interwoven systems. In Walter Stechele and Thomas Wild (Ed.). ARCS 2014: 27th International Conference on Architecture of Computing Systems February 25 – 28, 2014, Luebeck, Germany, Workshop Proceedings, University of Luebeck, Institute of Computer Engineering. VDE, Berlin
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Jan Kantert, Hannes Scharf, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2014. Implementing an adaptive higher level observer in trusted desktop grid to control norms. In Joaquim Filipe, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek (Eds.). Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, September 1-3, 2014, in Vienna, Austria. SciTePress, Setúbal, 288-295 DOI: 10.5220/0005057902880295
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Jan Kantert, Sebastian Bodelt, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2014. Interactive Simulation of an Open Trusted Desktop Grid System with Visualisation in 3D. In Moez Draief, Salima Hassas, Ada Diaconescu, Nagarajan Kandasamy and Mirko Viroli (Ed.). 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems, 8-12 Sept. 2014, London, UK. IEEE, Los Alamitos, Calif., 191-192. DOI: 10.1109/saso.2014.39
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Sven Tomforde, Jörg Hähner and Bernhard Sick. 2014. Interwoven Systems. Informatik-Spektrum 37, 5, 483-487. DOI: 10.1007/s00287-014-0827-z
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Jörg Hähner, Matthias Sommer and Sven Tomforde. 2014. Learning to Predict: Automated Management and Correction of Prediction Techniques for Traffic Flows within a Self-organised Traffic Control System. In 11th International Congress on Advances in Civil Engineering (ACE14), Istanbul, Turkey, 21-25 October 2014.
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Sven Tomforde, Alexander Ostrovsky and Jörg Hähner. 2014. Load-aware reconfiguration of LTE-antennas: dynamic cell-phone network adaptation using organic network control. In Joaquim Filipe, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek (Eds.). 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), September 1-3, 2014, Vienna, Austria. SciTePress, Setúbal, 236-243 DOI: 10.5220/0005045102360243
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Sebastian von Mammen, Sven Tomforde, Jörg Hähner, Patrick Lehner, Lukas Forschner, Andreas Hiemer, Mirela Nicola and Patrick Blickling. 2014. OCbotics: An organic computing approach to collaborative robotic swarms. In Marios Polycarpou, David Fogel, Haibo He, Cesare Alippi (Eds.). 2014 IEEE Symposium on Swarm Intelligence, 9-12 Dec. 2014, Orlando, FL, USA. IEEE, Piscataway, NJ DOI: 10.1109/sis.2014.7011781
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Sebastian von Mammen, Carsten Grenz, Jörg Hähner, Sabine Timpf, Daniel Loebenberger, Stefan Mandl and Oleksandr Kozachuk. 2014. Organic Data: ein sicheres, dezentralisiertes Big Data Konzept. In Erhard Plödereder, Lars Grunske, Eric Schneider and Dominik Ull (Ed.). Informatik 2014: Big Data – Komplexität meistern; 44. Jahrestagung der Gesellschaft für Informatik, 22. – 26. September 2014 in Stuttgart. Gesellschaft für Informatik e.V, Bonn, 1241-1252.
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Stefan Rudolph, Sarah Edenhofer, Sven Tomforde and Jörg Hähner. 2014. Reinforcement Learning for Coverage Optimization Through PTZ Camera Alignment in Highly Dynamic Environments. In Andrea Prati and Niki Martinel (Ed.). Proceedings of the International Conference on Distributed Smart Cameras - ICDSC '14, Venezia Mestre, Italy, November 4-7, 2014. ACM Press, New York, NY, 19. DOI: 10.1145/2659021.2659052
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Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2014. Robust Self-Monitoring in Trusted Desktop Grids for Self-Configuration at Runtime. In Jan-Philipp Steghöfer and Didac Busquets (Ed.). 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 8-12 Sept. 2014, London, UK. IEEE, Los Alamitos, Calif., 178-185. DOI: 10.1109/sasow.2014.28
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Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal and Arno Wacker. 2013. A Concept for Securing Cyber-physical Systems with Organic Computing Techniques. In Mladen Bereković, Martin Danek (Eds.). ARCS 2013: 26th International Conference on Architecture of Computing Systems 2013, Workshop Proceedings, February 19 – 22, 2013, Prague, Czech Republic. VDE-Verlag, Berlin [u.a.]
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Carsten Grenz, Fabian Asam and Jörg Hähner. 2013. Application-independent in-network storage optimization for distributed Smart Camera systems. In 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC), 29 Oct.-1 Nov. 2013, Palm Springs, CA, USA. IEEE, Los Alamitos, Calif. DOI: 10.1109/icdsc.2013.6778233
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Sven Tomforde, Jörg Hähner and Christian Müller-Schloer. 2013. Incremental design of organic computing systems - moving system design from design-time to runtime. In Jean-Louis Ferrier, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek (Eds.). Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013), July 29-31, 2013, in Reykjavík, Iceland. SciTePress, Setúbal, 185-192 DOI: 10.5220/0004457901850192
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Uwe Jaenen, Henning Spiegelberg, Lars Sommer, Sebastian von Mammen, Jürgen Brehm and Jörg Hähner. 2013. Object tracking as job-scheduling problem. In 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC), 29 Oct. - 1 Nov. 2013, Palm Springs, CA, USA. IEEE, Piscataway, NJ DOI: 10.1109/icdsc.2013.6778211
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2013. Resilient Traffic Management with Organic Computing Techniques. In 1st International Systems Competition on Autonomic Features and Technologies for Road Traffic Flow Modeling and Control Systems, held together with the 16th International IEEE Conference on Intelligent Transport Systems (IEEE-ITS13), The Hague, Netherlands.
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Sven Tomforde, Uwe Jänen, Jörg Hähner and Martin Hoffmann. 2013. SmaCCS: Smart Camera Cloud Services - towards an intelligent cloud-based surveillance system. In Jean-Louis Ferrier, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek (Eds.). 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013), July 29-31, 2013, in Reykjavík, Iceland. SciTePress, Setúbal, 288-293 DOI: 10.5220/0004590902880293
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2013. Using a Neural Network for Forecasting in an Organic Traffic Control Management System. In International Workshop on Embedded Self-Organizing Systems (ESOS '13), June 2l5, 2013, San Jose, CA, part of the 10th International Comference on Autonomic Computing (ICAC '13). USENIX, Berkeley, CA
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Dominique Dudkowski and Jörg Hähner. 2012. An analytical study of the communication cost of data-centric storage in mobile ad hoc networks. Ad Hoc Networks 10, 3, 356-372. DOI: 10.1016/j.adhoc.2011.07.010
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Carsten Grenz, Uwe Jänen, Jörg Hähner, Colin Kuntzsch, Moritz Menze, David d'Angelo, Manfred Bogen and Eduardo Monari. 2012. CamInSens - demonstration of a distributed smart camera system for in-situ threat detection. In ICDSC 2012: 6th ACM/IEEE International Conference on Distributed Smart Cameras, Oct 30 - Nov 2, 2012, Hong Kong. IEEE, Piscataway, NJ
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Christian Becker, Jörg Hähner and Sven Tomforde. 2012. Flexibility in organic systems - remarks on mechanisms for adapting system goals at runtime. In Jean-Louis Ferrier, Alain Bernard, Oleg Gusikhin, Kurosh Madani (Eds.). Proceedings of the 9th International Conference on Informatics in Control, Automation, and Robotics (ICINCO'12), Rome, Italy, 28 - 31 July, 2012. SciTePress, Setúbal, 287-292 DOI: 10.5220/0004121002870292
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Uwe Jänen, Udo Feuerhake, Tobias Klinger, Daniel Muhle, Jörg Hähner, Monika Sester and Christian Heipke. 2012. QTrajectories: Improving the Quality of Object Tracking Using Self-Organizing Camera Networks. In Cliff Ogleby (Ed.). Archives: XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), 25 August - 1 September 2012, Melbourne, Australia. ACT, Deakin West, 269-274.
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Jörg Hähner, Uwe Jänen, Carsten Grenz and Martin Hoffmann. 2012. Selbstorganisierende Smart-Kamera-Systeme. Informatik-Spektrum 35, 2, 93-101. DOI: 10.1007/s00287-012-0594-7
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Holger Prothmann, Sven Tomforde, Johannes Lyda, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer and Hartmut Schmeck. 2012. Self-Organised Routing for Road Networks. Lecture Notes in Computer Science 7166, 48-59. DOI: 10.1007/978-3-642-28583-7_5
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Uwe Jänen, Carsten Grenz, Christian Paul and Jörg Hähner. 2012. Using Feed-Forward Neural Networks for Data Association on Multi-Object Tracking Tasks. International Journal of Computer Information Systems and Industrial Management Applications 4, 383-391.
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Holger Prothmann, Hartmut Schmeck, Sven Tomforde, J. Lyda, Jörg Hähner, Christian Müller-Schloer and Jürgen Branke. 2011. Decentralised Route Guidance in Organic Traffic Control. In Sven Brückner, Kurt Geihs, Jacob Beal, Julie McCann and Katharina Zweig (Ed.). 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems, 3-7 Oct. 2011, Ann Arbor, MI, USA. IEEE, Los Alamitos, Calif., 219-220. DOI: 10.1109/saso.2011.34
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Sven Tomforde, Björn Hurling and Jörg Hähner. 2011. Distributed Network Protocol Parameter Adaptation in Mobile Ad-Hoc Networks. Lecture Notes in Electrical Engineering 89, 91-104. DOI: 10.1007/978-3-642-19539-6_6
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Uwe Jaenen, Matthias Huy, Carsten Grenz, Jörg Hähner and Martin Hoffmann. 2011. Distributed three-dimensional camera alignment in highly-dynamical prioritized observation areas. In Wilfried Philips and Richard Kleihorst (Ed.). 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 22-25 Aug. 2011, Ghent, Belgium. IEEE, Piscataway, NJ DOI: 10.1109/icdsc.2011.6042904
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Michael Wittke, Alvaro del Amo Jimenez, Sascha Radike, Carsten Grenz and Jörg Hähner. 2011. ENRA: Event-based network reconfiguration algorithm for Active Camera Networks. In Wilfried Philips and Richard Kleihorst (Ed.). 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 22-25 Aug. 2011, Ghent, Belgium. IEEE, Los Alamitos, Calif. DOI: 10.1109/icdsc.2011.6042936
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Björn Hurling, Sven Tomforde, Stefan Rudolph, Jörg Hähner and Christian Müller-Schloer. 2011. Evolving network protocols. In Hartmut Schmeck, Wolfgang Rosenstiel, Tarek Abdelzaher and Joseph Hellerstein (Ed.). Proceedings of the 8th ACM international conference on Autonomic computing - ICAC '11, Karlsruhe, Germany, June 14-18, 2011. ACM Press, New York, NY, 173-174. DOI: 10.1145/1998582.1998614
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Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Moez Mnif, Christian Müller-Schloer, Urban Richter and Hartmut Schmeck. 2011. Observation and Control of Organic Systems. In Christian Müller-Schloer, Hartmut Schmeck and Theo Ungerer (Ed.). Organic Computing — A Paradigm Shift for Complex Systems. Springer, Basel (Autonomic Systems (ASYS) ; 1), 325-338. DOI: 10.1007/978-3-0348-0130-0_21
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Björn Hurling, Sven Tomforde and Jörg Hähner. 2011. Organic Network Control. In Christian Müller-Schloer, Hartmut Schmeck and Theo Ungerer (Ed.). Organic Computing — A Paradigm Shift for Complex Systems. Springer, Basel (Autonomic Systems (ASYS) ; 1), 611-613. DOI: 10.1007/978-3-0348-0130-0_48
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Sven Tomforde and Jörg Hähner. 2011. Organic Network Control: Turning Standard Protocols into Evolving Systems. In Pietro Lio and Dinesh Verma (Ed.). Biologically Inspired Networking and Sensing: Algorithms and Architectures. IGI Global, Hershey [u.a.], 11-35. DOI: 10.4018/978-1-61350-092-7.ch002
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Holger Prothmann, Sven Tomforde, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer and Hartmut Schmeck. 2011. Organic Traffic Control. In Christian Müller-Schloer, Hartmut Schmeck and Theo Ungerer (Ed.). Organic Computing — A Paradigm Shift for Complex Systems. Springer, Basel (Autonomic Systems (ASYS) ; 1), 431-446. DOI: 10.1007/978-3-0348-0130-0_28
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Carsten Grenz and Jörg Hähner. 2011. PhD forum: Adaptive storage management in highly heterogeneous Smart Sensor systems. In Wilfried Philips and Richard Kleihorst (Ed.). 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 22-25 Aug. 2011, Ghent, Belgium. IEEE, Los Alamitos, Calif. DOI: 10.1109/icdsc.2011.6042949
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Sven Tomforde, Andreas Brameshuber, Jörg Hähner and Christian Müller-Schloer. 2011. Restricted on-line learning in real-world systems. In Alice E. Smith and Ian Parmee (Ed.). 2011 IEEE Congress of Evolutionary Computation (CEC), 5-8 June 2011, New Orleans, LA, USA. IEEE, Piscataway, NJ, 1628-1635. DOI: 10.1109/cec.2011.5949810
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Michael Wittke and Jörg Hähner. 2011. Self-organising Distributed Smart Camera Systems. In Christian Müller-Schloer, Hartmut Schmeck and Theo Ungerer (Ed.). Organic Computing — A Paradigm Shift for Complex Systems. Springer, Basel (Autonomic Systems (ASYS) ; 1), 609-610. DOI: 10.1007/978-3-0348-0130-0_47
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Michael Wittke, Carsten Grenz and Jörg Hähner. 2011. Towards Organic Active Vision Systems for Visual Surveillance. Lecture Notes in Computer Science 6566, 195-206. DOI: 10.1007/978-3-642-19137-4_17
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Bjoern Hurling, Sven Tomforde and Jörg Hähner. 2010. A Generic Architecture for Restricted On-line Learning of Network Protocol Parameters. In Scott Alexander, Jonathan Smith and Robert Laddaga (Ed.). 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop, 27-28 Sept. 2010, Budapest, Hungary. IEEE, Los Alamitos, Calif., 26-33. DOI: 10.1109/sasow.2010.10
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Martin Hoffmann, Uwe Jänen, Ahmed Fares and Jörg Hähner. 2010. AMiDiViN: basic algorithms for alarm management in distributed vision networks. In Marilyn Wolf, Gian Luca Foresti and Horst Bischof (Ed.). Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras - ICDSC '10, Atlanta, Georgia, August 31 - September 04, 2010. ACM Press, New York, NY, 150-157. DOI: 10.1145/1865987.1866011
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Sven Tomforde, Ioannis Zgeras, Jörg Hähner and Christian Müller-Schloer. 2010. Adaptive Control of Sensor Networks. Lecture Notes in Computer Science 6407, 77-91. DOI: 10.1007/978-3-642-16576-4_6
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Lukas Klejnowski, Yvonne Bernard, Jörg Hähner and Christian Müller-Schloer. 2010. An Architecture for Trust-Adaptive Agents. In Scott Alexander, Jonathan Smith and Robert Laddaga (Ed.). 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop, 27-28 Sept. 2010, Budapest, Hungary. IEEE, Los Alamitos, Calif., 178-183. DOI: 10.1109/sasow.2010.37
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Sven Tomforde, Björn Hurling and Jörg Hähner. 2010. Dynamic control of mobile ad-hoc networks – network protocol parameter adaptation using organic network control. In Joaquim Filipe, Juan Andrade Cetto, Jean-Louis Ferrier (Eds.). Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - ICINCO, June 15-18, 2010, Funchal, Madeira, Portugal. SciTePress, Setúbal, 28-35 DOI: 10.5220/0002884900280035
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Jan-Philipp Steghöfer, Florian Nafz, Wolfgang Reif, Yvonne Bernard, Lukas Klejnowski, Jörg Hähner and Christian Müller-Schloer. 2010. Formal Specification and Analysis of Trusted Communities. In Scott Alexander, Jonathan Smith and Robert Laddaga (Ed.). 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop, 27-28 Sept. 2010, Budapest, Hungary. IEEE, Piscataway, NJ, 190-195. DOI: 10.1109/sasow.2010.39
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Uwe Janen, Christian Paul, Michael Wittke and Jörg Hähner. 2010. Multi-object tracking using feed-forward neural networks. In Trevor Martin, Azah Kamilah Muda, Ajith Abraham, Henri Prade, Anne Laurent, Dominique Laurent and Virginie Sans (Ed.). 2010 International Conference of Soft Computing and Pattern Recognition, 7-10 Dec. 2010, Paris, France. IEEE, Los Alamitos, Calif., 176-181. DOI: 10.1109/socpar.2010.5686086
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Sven Tomforde, Holger Prothmann, Jurgen Branke, Jörg Hähner, Christian Müller-Schloer and Hartmut Schmeck. 2010. Possibilities and limitations of decentralised traffic control systems. In The 2010 International Joint Conference on Neural Networks (IJCNN), 18-23 July 2010, Barcelona, Spain. IEEE, Los Alamitos, Calif. DOI: 10.1109/ijcnn.2010.5596886
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Yvonne Bernard, Lukas Klejnowski, Jörg Hähner and Christian Müller-Schloer. 2010. Towards trust in desktop grid systems. In Manish Parashar, Rajkumar Buyya (Eds.). 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 17-20 May 2010, Melbourne, VIC, Australia. IEEE, Los Alamitos, CA, 637-642 DOI: 10.1109/ccgrid.2010.73
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Jan-Philipp Steghöfer, Rolf Kiefhaber, Karin Leichtenstern, Yvonne Bernard, Lukas Klejnowski, Wolfgang Reif, Theo Ungerer, Elisabeth André, Jörg Hähner and Christian Müller-Schloer. 2010. Trustworthy organic computing systems: challenges and perspectives. In Bing Xie, Juergen Branke, S. Masoud Sadjadi, Daqing Zhang and Xingshe Zhou (Ed.). Autonomic and trusted computing: 7th International Conference, ATC 2010, Xi’an, China, October 26-29, 2010. Springer, Berlin [u.a.] (Lecture Notes in Computer Science ; 6407), 62-76. DOI: 10.1007/978-3-642-16576-4_5
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Lars Friedrichs, Michael Wittke, Jörg Hähner and Martin Hoffmann. 2010. Verfahren zur verteilten Erzeugung miteinander korrelierender Daten.
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Martin Hoffmann, Michael Wittke and Jörg Hähner. 2009. Design and Evaluation of a Notification System for Alarm Management in Distributed Vision Networks. In Tarek Abdelrahman and Xiaodong Zhang (Ed.). 2009 29th IEEE International Conference on Distributed Computing Systems Workshops, 22-26 June 2009, Montreal, QC, Canada. IEEE, Los Alamitos, Calif., 426-431. DOI: 10.1109/icdcsw.2009.11
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Sven Tomforde, Emre Cakar and Jörg Hähner. 2009. Dynamic control of network protocols - a new vision for future self-organising networks. In Joaquim Filipe, Juan Andrade Cetto, Jean-Louis Ferrier (Eds.). ICINCO 2009: proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics, July 2-5, 2009, Milan, Italy. SciTePress, Setúbal, 285-290 DOI: 10.5220/0002243302850290
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Ghadi Mahmoudi, Christian Müller-Schloer and Jörg Hähner. 2009. Marketplace-Oriented Behavior in Semantic Multi-Criteria Decision Making Autonomous Systems. Lecture Notes in Computer Science 5455, 120-134. DOI: 10.1007/978-3-642-00454-4_14
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Holger Prothmann, Jürgen Branke, Hartmut Schmeck, Sven Tomforde, Fabian Rochner, Jörg Hähner and Christian Müller-Schlör. 2009. Organic traffic light control for urban road networks. International Journal of Autonomous and Adaptive Communications Systems 2, 3, 203-225. DOI: 10.1504/IJAACS.2009.026783
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Sven Tomforde, Martin Hoffmann, Yvonne Bernard, Lukas Klejnowski and Jörg Hähner. 2009. POWEA: A system for automated network protocol parameter optimisation using evolutionary algorithms. In Stefan Fischer, Erik Maehle and Rüdiger Reischuk (Ed.). INFORMATIK 2009 - Im Focus das Leben: Beiträge der 39. Jahrestagung der Gesellschaft für Informatik e.V. (GI) ; 28.9. - 2.10.2009 in Lübeck. Gesellschaft für Informatik, Bonn (GI-Edition : lecture notes in informatics : GI-Edition / Proceedings ; P-154), 3177-3191.
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Uwe Janen, Jörg Hähner and Christian Müller-Schloer. 2009. PhD forum: Competing agents for distributed object-tracking in smart camera networks. In 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 30 Aug.-2 Sept. 2009, Como, Italy. IEEE, Los Alamitos, Calif. DOI: 10.1109/icdsc.2009.5289395
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Sven Tomforde, Marcel Steffen, Jörg Hähner and Christian Müller-Schloer. 2009. Towards an Organic Network Control System. Lecture Notes in Computer Science 5586, 2-16. DOI: 10.1007/978-3-642-02704-8_2
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Emre Cakar, Jörg Hähner and Christian Müller-Schloer. 2008. Creating Collaboration Patterns in Multi-Agent Systems with Generic Observer/Controller Architectures. In Antonio Manzalini (Ed.). Proceedings of the 2nd International ICST Conference on Autonomic Computing and Communication Systems, September 23-25, Turin, Italy. ICST, Brussels DOI: 10.4108/icst.autonomics2008.4379
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Martin Hoffmann, Michael Wittke, Yvonne Bernard, Ramin Soleymani and Jörg Hähner. 2008. DMCtrac: Distributed multi camera tracking. In Hamid Aghajan and Tsuhan Chen (Ed.). 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 7-11 Sept. 2008, Stanford, CA, USA. IEEE, Los Alamitos, Calif. DOI: 10.1109/icdsc.2008.4635684
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Sven Tomforde, Holger Prothmann, Fabian Rochner, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer and Hartmut Schmeck. 2008. Decentralised Progressive Signal Systems for Organic Traffic Control. In Sven Brückner, Paul Robertson and Umesh Bellur (Ed.). 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 20-24 Oct. 2008, Venezia, Italy. IEEE, Los Alamitos, Calif., 413-422. DOI: 10.1109/saso.2008.31
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Emre Cakar, Jörg Hähner and Christian Müller-Schloer. 2008. Investigation of generic observer/controller architectures in a traffic scenario. In Heinz-Gerd Hegering, Axel Lehmann, Hans Jürgen Ohlbach and Christian Scheideler (Ed.). Informatik 2008: Beherrschbare Systeme - dank Informatik; Beiträge der 38. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 8. - 13. September 2008 in München. Gesellschaft für Informatik e.V, Bonn (GI-Edition : lecture notes in informatics : GI-Edition / Proceedings ; P 134), 733-738.
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Michael Wittke, Martin Hoffmann, Jörg Hähner and Christian Müller-Schloer. 2008. MIDSCA: Towards a Smart Camera architecture of mobile internet devices. In Hamid Aghajan and Tsuhan Chen (Ed.). 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 7-11 Sept. 2008, Stanford, CA, USA. IEEE, Los Alamitos, Calif. DOI: 10.1109/icdsc.2008.4635713
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M. Hoffmann, M. Wittke, Jörg Hähner and Christian Müller-Schloer. 2008. Spatial Partitioning in Self-Organizing Smart Camera Systems. IEEE Journal of Selected Topics in Signal Processing 2, 4, 480-492. DOI: 10.1109/jstsp.2008.2001308
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Martin Hoffmann, Michael Wittke, Jörg Hähner and Christian Müller-Schloer. 2008. Spin-off: Autonomous Smart Camera Systems. In Industrial Track: 5th International Conference on Autonomic and Trusted Computing, Jun 23-25, 2008, Oslo, Norway.
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Martin Hoffmann, Jörg Hähner and Christian Müller-Schloer. 2008. Towards Self-organising Smart Camera Systems. Lecture Notes in Computer Science 4934, 220-231. DOI: 10.1007/978-3-540-78153-0_17
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Gregor Schiele, Jörg Hähner and Christian Becker. 2008. Web 2.0 - Technologien und Trends. In Hans Bauer, Dirk Groß-Leege and Jürgen Rösger (Ed.). Interactive Marketing im Web 2.0+ : Konzepte und Anwendungen für ein erfolgreiches Marketingmanagement im Internet. Vahlen, München, 3-14.
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Jörg Hähner. 2007. Consistent data replication in mobile ad hoc networks. Universität Stuttgart, Stuttgart. DOI: 10.18419/opus-2600
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Dissertation

Jörg Hähner, Christian Becker, Pedro José Marrón and Kurt Rothermel. 2007. Drahtlose Sensornetze — Fenster zur Realwelt. In Friedemann Mattern (Ed.). Die Informatisierung des Alltags. Springer, Berlin [u.a.], 41-60. DOI: 10.1007/978-3-540-71455-2_4
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Jörg Hähner, Dominique Dudkowski, Pedro Jose Marron and Kurt Rothermel. 2007. Quantifying Network Partitioning in Mobile Ad Hoc Networks. In Christian Becker, Christian S. Jensen and Jianwen Su (Ed.). 2007 International Conference on Mobile Data Management, 1 May 2007, Mannheim, Germany. IEEE, Los Alamitos, Calif., 174-181. DOI: 10.1109/mdm.2007.33
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Martin Hoffmann and Jörg Hähner. 2007. ROCAS: A Robust Online Algorithm for Spatial Partitioning in Distributed Smart Camera Systems. In 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, 25-28 Sept. 2007, Vienna, Austria. IEEE, Piscataway, NJ, 267-274. DOI: 10.1109/icdsc.2007.4357533
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Gregor Schiele, Richard Süselbeck, Arno Wacker, Jörg Hähner, Christian Becker and Torben Weis. 2007. Requirements of Peer-to-Peer-based Massively Multiplayer Online Gaming. In Bruno Schulze, Walfredo Cirne, Rajkuma Buyya, Vinod Rebello and Philippe Navaux (Ed.). Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07), 14-17 May 2007, Rio de Janeiro, Brazil. IEEE, Los Alamitos, Calif., 773-782. DOI: 10.1109/ccgrid.2007.97
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Jörg Hähner, C. Becker, P. J. Marron and K. Rothermel. 2006. Maintaining Update-Linearizability for Replicated Information in MANETs. In 2006 1st International Conference on Communication Systems Software and Middleware, 8-12 Jan. 2006, New Delhi, India. IEEE, Piscataway, NJ DOI: 10.1109/comswa.2006.1665176
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Pedro Marron, Andreas Lachenmann, Daniel Minder, Jörg Hähner, Kurt Rothermel and Christian Becker. 2005. Adaptation and Cross-Layer Issues in Sensor Networks. In M. Palaniswami, B. Krishnamachari, A. Sowmya and S. Challa (Ed.). Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004, 14-17 Dec. 2004, Melbourne, Vic., Australia. IEEE, Piscataway, NJ, 623-628. DOI: 10.1109/issnip.2004.1417533
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P. J. Marron, A. Lachenmann, D. Minder, Jörg Hähner, R. Sauter and K. Rothermel. 2005. Tinycubus: a flexible and adaptive framework for sensor networks. In Erdal Cayirci, Sebnem Baydere and Paul Havinga (Ed.). Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005, 2 Feb. 2005, Istanbul, Turkey. IEEE, Los Alamitos, Calif., 278-289. DOI: 10.1109/ewsn.2005.1462020
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Jörg Hähner, K. Rothermel and C. Becker. 2005. Update-linearizability: a consistency concept for the chronological ordering of events in MANETs. In 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 25-27 Oct. 2004, Fort Lauderdale, FL, USA. IEEE, Los Alamitos, Calif. DOI: 10.1109/mahss.2004.1392060
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I. Stepanov, Jörg Hähner, C. Becker, Jing Tian and K. Rothermel. 2004. A meta-model and framework for user mobility in mobile networks. In The 11th IEEE International Conference on Networks, 2003 (ICON2003), 1 Oct. 2003, Sydney, NSW, Australia. IEEE, Los Alamitos, Calif., 231-238. DOI: 10.1109/icon.2003.1266195
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Jörg Hähner, C. Becker and K. Rothermel. 2004. A protocol for data dissemination in frequently partitioned mobile ad hoc networks. In Ahmed Tantawy and Kemal Inan (Ed.). Proceedings of the Eighth IEEE Symposium on Computers and Communications (ISCC 2003), 3 July 2003, Kemer-Antalya, Turkey. IEEE, Los Alamitos, Calif., 633-640. DOI: 10.1109/iscc.2003.1214189
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Jörg Hähner, Dominique Dudkowski, Pedro José Marrón and Kurt Rothermel. 2004. A quantitative analysis of partitioning in mobile ad hoc networks. In E. G. Coffman, Jr., Zhen Liu and Arif Merchant (Ed.). Proceedings of the joint international conference on Measurement and modeling of computer systems - SIGMETRICS 2004/PERFORMANCE 2004, New York, NY, USA, June 10-14, 2004. ACM Press, New York, NY, 400-401. DOI: 10.1145/1005686.1005737
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Jörg Hähner, Christian Becker and Pedro José Marrón. 2004. Consistent context management in mobile ad hoc networks. In Peter Dadam and Manfred Reichert (Ed.). Informatik 2004: Informatik verbindet; Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI), Ulm, 20. - 24. September 2004. Gesellschaft für Informatik e.V, Bonn (GI-Edition : lecture notes in informatics : GI-Edition / Proceedings ; P-50), 308-313.
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M. Bauer, C. Becker, Jörg Hähner and G. Schiele. 2004. ContextCube - providing context information ubiquitously. In 23rd International Conference on Distributed Computing Systems Workshops, 2003, 19-22 May 2003, Providence, Rhode Island, USA: Proceedings. IEEE, Los Alamitos, Calif., 308-313. DOI: 10.1109/icdcsw.2003.1203572
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Jörg Hähner, Dominique Dudkowski, Pedro José Marrón and Christian Becker. 2004. Partitioning in Mobile Ad Hoc Networks. In Zweites GI/ITG Fachgespräch Sensornetze, Karlsruhe, 2004. Gesellschaft für Informatik e.V.
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Christian Becker, Jörg Hähner and Pedro José Marrón. 2003. Consistent Update Diffusion in Sensor Networks. In Erstes GI/ITG Fachgespräch Sensornetze. Gesellschaft für Informatik e.V., Berlin
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Jing Tian, Jörg Hähner, C. Becker, I. Stepanov and K. Rothermel. 2003. Graph-based mobility model for mobile ad hoc network simulation. In Proceedings 35th Annual Simulation Symposium (SS 2002), 14-18 April 2002, San Diego, CA, USA. IEEE, Piscataway, NJ, 337-344. DOI: 10.1109/simsym.2002.1000171
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Vlad Coroama, Jörg Hähner, Matthias Handy, Patricia Rudolph-Kuhn, Carsten Magerkurth, Jürgen Müller, Moritz Strasser and Tobias Zimmer. 2003. Leben in einer smarten Umgebung: Ubiquitous-Computing-Szenarien und -Auswirkungen. ETH Zürich, Institute for Pervasive Computing, Zürich (Technischer Bericht ; 431).
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Christian Becker, Martin Bauer and Jörg Hähner. 2003. Usenet-on-the-fly - Supporting Locality of Information in Spontaneous Networking Environments. In Ramiro Liscano, Gerd Kortuem (Eds.). Workshop on Ad Hoc Communications and Collaboration in Ubiquitous Computing Environments in conjunction with ACM Conference on CSCW 2002, New Orleans/USA, 2002.
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Kurt Rothermel, Christian Becker and Jörg Hähner. 2002. Consistent Update Diffusion in Mobile Ad Hoc Networks. Fakultät Informatik, Universität Stuttgart, Stuttgart (Technischer Bereicht der Universität Stuttgart ; 2002/04). DOI: 10.18419/opus-2486
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M.-L. Moschgath, Jörg Hähner and R. Reinema. 2002. Sm@rtLibrary - an infrastructure for ubiquitous technologies and applications. In Makoto Takizawa (Ed.). Proceedings 21st International Conference on Distributed Computing Systems Workshops, 16-19 April 2001, Mesa, AZ, USA. IEEE, Piscataway, NJ, 208-213. DOI: 10.1109/cdcs.2001.918707
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