Prof. Dr. Jörg Hähner

Lehrstuhlinhaber
Lehrstuhl für Organic Computing
Telefon: +49 821 598 69250
E-Mail:
Raum: 2048 (W)
Sprechzeiten: nach Vereinbarung
Adresse: Am Technologiezentrum 8, 86159 Augsburg

Lebenslauf

seit 01/2012 Inhaber des Lehrstuhls Organic Computing, Universität Augsburg
2006-2011 Juniorprofessor für Organic Computing, Leibniz-Universität Hannover
2001-2006 Wissenschaftlicher Mitarbeiter, Institut für Parallele und Verteilte Systeme, Universität Stuttgart
1996-2001 Informatikstudium an der TU Darmstadt

 

Forschungsschwerpunkte

Lehrveranstaltungen

(Angewandte Filter: Semester: WS 2021/22 | Institutionen: Organic Computing | Dozenten: Jörg Hähner | Vorlesungsarten: Vorlesung, Vorlesung + Übung, Pflichtvorlesung, Übung, Seminar, Praktikum)
Name Semester Typ
Keine Vorlesungen vorhanden.

Publikationen

 

 

 

 

 

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002

2023

Henning Cui, Markus Görlich-Bucher, Lukas Rosenbauer, Jörg Hähner and Daniel Gerber. 2023. A concept for optimizing motor control parameters using Bayesian optimization. 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. DOI: 10.1007/978-3-031-42785-5_3
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Helena Stegherr, Leopold Luley, Jonathan Wurth, Michael Heider and Jörg Hähner. 2023. A framework for modular construction and evaluation of metaheuristics.
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Michael Heider, David Pätzel, Helena Stegherr and Jörg Hähner. 2023. A metaheuristic perspective on learning classifier systems. 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. 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. 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. 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. 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. DOI: 10.1007/s42979-022-01375-8
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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. 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. 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. 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. 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. 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. DOI: 10.1007/978-3-031-42785-5_4
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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. 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. 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. 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. 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. DOI: 10.1145/3594805.3607130
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2022

Richard Nordsieck, Michael Heider, Anton Hummel and Jörg Hähner. 2022. A closer look at sum-based embeddings for knowledge graphs containing procedural knowledge.
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2022. A germinal center artificial immune system for black box test selection. 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. DOI: 10.1007/s42979-022-01255-1
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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. 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. 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. 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. 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. 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. 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. DOI: 10.1007/978-3-031-21094-5_11
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Henning Cui, Andreas Margraf and Jörg Hähner. 2022. Refining mutation variants in Cartesian genetic programming. DOI: 10.1007/978-3-031-21094-5_14
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Richard Nordsieck, Michael Heider, Alwin Hoffmann and Jörg Hähner. 2022. Reliability-based aggregation of heterogeneous knowledge to assist operators in manufacturing. DOI: 10.1109/icsc52841.2022.00027
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Wenzel Pilar von Pilchau, Anthony Stein and Jörg Hähner. 2022. Semi-model-based reinforcement learning in organic computing systems. 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. 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. 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.
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Markus Görlich-Bucher and Jörg Hähner. 2022. XCSF under limited supervision. DOI: 10.1145/3520304.3534046
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2021

Richard Sailer and Jörg Hähner. 2021. A comprehensive evaluation of different approaches to tunnelling over multiple paths. 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. 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.
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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. 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. 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. 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. DOI: 10.1007/978-3-030-81682-7_9
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Helena Stegherr and Jörg Hähner. 2021. Analysing metaheuristic components.
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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. 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. 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. DOI: 10.1145/3449726.3463168
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Richard Sailer and Jörg Hähner. 2021. Flow-aware Low-Latency Multipath Tunnelling. DOI: 10.1109/lcn52139.2021.9525025
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Richard Sailer and Jörg Hähner. 2021. HTMT: High-Throughput Multipath Tunnelling for asymmetric paths. 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. 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.
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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. 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. DOI: 10.1007/978-3-030-72699-7_43
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2020

Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2020. A germinal center artificial immune system for software test suite reduction.
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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. DOI: 10.15439/2020f203
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Lukas Rosenbauer, Anthony Stein and Jörg Hähner. 2020. An artificial immune system for adaptive test selection. 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. 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. 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. 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. 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.
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Michael Heider, David Pätzel and Jörg Hähner. 2020. Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. 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. 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. 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. 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. 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. DOI: 10.1109/ssci47803.2020.9308379
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2019

David Pätzel, Anthony Stein and Jörg Hähner. 2019. A survey of formal theoretical advances regarding XCS. 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. 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.
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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. 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. 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.
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2018

Anthony Stein, Sven Tomforde, Ada Diaconescu, Jörg Hähner and Christian Muller-Schloer. 2018. A concept for proactive knowledge construction in self-learning autonomous systems. DOI: 10.1109/fas-w.2018.00048
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David Pätzel and Jörg Hähner. 2018. An algebraic description of XCS. 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.
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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.
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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. 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. DOI: 10.1145/3205455.3205599
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2017

Matthias Sommer and Jörg Hähner. 2017. Adapting signal timings to automated incident alarms within a self-organised traffic control system. 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. 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.
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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. 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. 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. 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. 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. 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. DOI: 10.1145/3067695.3082488
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2016

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.
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Stefan Rudolph, Sven Tomforde and Jörg Hähner. 2016. A mutual influence-based learning algorithm. DOI: 10.5220/0005697001810189
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Matthias Sommer, Sven Tomforde and Jörg Hähner. 2016. An Organic Computing Approach to Resilient Traffic Management. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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.
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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. 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. 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. 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. 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. 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. DOI: 10.1007/978-3-319-29201-4
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2015

Stefan Rudolph, Sven Tomforde, Bernhard Sick and Jörg Hähner. 2015. A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement. 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.
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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. 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. 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.
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Jörg Hähner, Sebastian von Mammen and Sven Tomforde. 2015. Autonomous Self-Integration in Interwoven Systems.
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Sebastian von Mammen, Sarah Edenhofer and Jörg Hähner. 2015. CoSMoS in the Interactive Simulation Curriculum.
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Sven Tomforde, Jan Kantert, Sebastian von Mammen and Jörg Hähner. 2015. Cooperative self-optimisation of network protocol parameters at runtime. 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. 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. 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. 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.
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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. 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. 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.
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Adnan Al-Anbuky, Stefan Rudolph, Jörg Hähner and Sven Tomforde. 2015. Public Space Ambient Intelligence Systems: Benefits, Approaches and Challenges.
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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.
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Carsten Grenz, Uwe Jänen, Jonas Winizuk and Jörg Hähner. 2015. Self-Organizing Access-Centric Storage Optimization in Smart Sensor Networks. 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.
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Uwe Jänen, Carsten Grenz, Sarah Edenhofer, Anthony Stein, Jürgen Brehm and Jörg Hähner. 2015. Task execution in distributed smart systems. 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.
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2014

Sven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick and Kurt Geihs. 2014. "Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems. 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. 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. 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. 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.
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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. 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. DOI: 10.1109/saso.2014.39
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Sven Tomforde, Jörg Hähner and Bernhard Sick. 2014. Interwoven Systems. 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.
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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. 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. 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.
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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. 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. DOI: 10.1109/sasow.2014.28
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2013

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.
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Carsten Grenz, Fabian Asam and Jörg Hähner. 2013. Application-independent in-network storage optimization for distributed Smart Camera systems. 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. 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. 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.
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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. 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.
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2012

Dominique Dudkowski and Jörg Hähner. 2012. An analytical study of the communication cost of data-centric storage in mobile ad hoc networks. 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.
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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. 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.
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Jörg Hähner, Uwe Jänen, Carsten Grenz and Martin Hoffmann. 2012. Selbstorganisierende Smart-Kamera-Systeme. 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. 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.
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2011

Holger Prothmann, Hartmut Schmeck, Sven Tomforde, J. Lyda, Jörg Hähner, Christian Müller-Schloer and Jürgen Branke. 2011. Decentralised Route Guidance in Organic Traffic Control. 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. 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. 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. 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. 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. DOI: 10.1007/978-3-0348-0130-0_21
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Björn Hurling, Sven Tomforde and Jörg Hähner. 2011. Organic Network Control. 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. 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. 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. 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. DOI: 10.1109/cec.2011.5949810
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Michael Wittke and Jörg Hähner. 2011. Self-organising Distributed Smart Camera Systems. 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. DOI: 10.1007/978-3-642-19137-4_17
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2010

Bjoern Hurling, Sven Tomforde and Jörg Hähner. 2010. A Generic Architecture for Restricted On-line Learning of Network Protocol Parameters. 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. 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. 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. 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. 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. 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. 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. 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. DOI: 10.1109/ccgrid.2010.73
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Yvonne Bernard, Lukas Klejnowski, Jörg Hähner and Christian Müller-Schloer. 2010. Towards Trust in Desktop Grid Systems. 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. 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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2009

Martin Hoffmann, Michael Wittke and Jörg Hähner. 2009. Design and Evaluation of a Notification System for Alarm Management in Distributed Vision Networks. 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.
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Ghadi Mahmoudi, Christian Müller-Schloer and Jörg Hähner. 2009. Marketplace-Oriented Behavior in Semantic Multi-Criteria Decision Making Autonomous Systems. 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. 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.
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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. 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. DOI: 10.1007/978-3-642-02704-8_2
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2008

Emre Cakar, Jörg Hähner and Christian Müller-Schloer. 2008. Creating Collaboration Patterns in Multi-Agent Systems with Generic Observer/Controller Architectures. 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. 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. 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.
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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. 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. 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.
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Martin Hoffmann, Jörg Hähner and Christian Müller-Schloer. 2008. Towards Self-organising Smart Camera Systems. 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.
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2007

Jörg Hähner. 2007. Consistent data replication in mobile ad hoc networks. DOI: 10.18419/opus-2600
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Jörg Hähner, Christian Becker, Pedro José Marrón and Kurt Rothermel. 2007. Drahtlose Sensornetze — Fenster zur Realwelt. 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. 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. 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. DOI: 10.1109/ccgrid.2007.97
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2006

Jörg Hähner, C. Becker, P. J. Marron and K. Rothermel. 2006. Maintaining Update-Linearizability for Replicated Information in MANETs. DOI: 10.1109/comswa.2006.1665176
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2005

Pedro Marron, Andreas Lachenmann, Daniel Minder, Jörg Hähner, Kurt Rothermel and Christian Becker. 2005. Adaptation and Cross-Layer Issues in Sensor Networks. 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. 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. DOI: 10.1109/mahss.2004.1392060
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2004

I. Stepanov, Jörg Hähner, C. Becker, Jing Tian and K. Rothermel. 2004. A meta-model and framework for user mobility in mobile networks. 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. 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. 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.
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M. Bauer, C. Becker, Jörg Hähner and G. Schiele. 2004. ContextCube - providing context information ubiquitously. 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.
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2003

Christian Becker, Jörg Hähner and Pedro José Marrón. 2003. Consistent Update Diffusion in Sensor Networks.
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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. 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.
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Christian Becker, Martin Bauer and Jörg Hähner. 2003. Usenet-on-the-fly - Supporting Locality of Information in Spontaneous Networking Environments.
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2002

Kurt Rothermel, Christian Becker and Jörg Hähner. 2002. Consistent Update Diffusion in Mobile Ad Hoc Networks. 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. DOI: 10.1109/cdcs.2001.918707
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