Jörg Hähner - researchr profile publications

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Publications with a 'Jörg Hähner' as author, editor, or advisor:

Bottom-Up Norm Adjustment in Open, Heterogeneous Agent SocietiesSarah Edenhofer, Christopher Stifter, Youssef Madkour, Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Jörg Hähner. saso 2016: 36-41 [doi]
Self-Organizing Access-Centric Storage Optimization in Smart Sensor NetworksCarsten Grenz, Uwe Jänen, Jonas Winizuk, Jörg Hähner. adhocnets 2015: 161-172 [doi]
Towards XCSF-based Identification of Physical DisturbancesMarkus Görlich-Bucher, Jörg Hähner. lifelike 2023: [doi]
Load-aware Reconfiguration of LTE-Antennas - Dynamic Cell-phone Network Adaptation Using Organic Network ControlSven Tomforde, Alexander Ostrovsky, Jörg Hähner. icinco 2014: 236-243 [doi]
Evaluating the Effect of User-Given Guiding Attention on the Learning ProcessRichard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner. acsos 2020: 215-221 [doi]
A Genetic Algorithm for HMI Test Infrastructure Fine TuningLukas Rosenbauer, Anthony Stein, Jörg Hähner. icinco 2021: 367-374 [doi]
Organic Traffic ControlHolger Prothmann, Sven Tomforde, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck. In Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, editors, Organic Computing - A Paradigm Shift for Complex Systems. pages 431-446, Springer, 2011. [doi]
Interpolation in the eXtended Classifier System: An architectural perspectiveAnthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner. jsa, 75:79-94, 2017. [doi]
Using a Neural Network for Forecasting in an Organic Traffic Control Management SystemMatthias Sommer, Sven Tomforde, Jörg Hähner. usenix 2013: [doi]
Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine LearningMarkus Görlich-Bucher, Michael Heider, Jörg Hähner. arcs 2023: 48-62 [doi]
XCS classifier system with experience replayAnthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner. gecco 2020: 404-413 [doi]
The game of flow - cellular automaton-based fluid simulation for realtime interactionChristian Heintz, Moritz Grunwald, Sarah Edenhofer, Jörg Hähner, Sebastian von Mammen. vrst 2017: [doi]
Interpolated Experience Replay for Continuous EnvironmentsWenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner. ijcci 2022: 237-248 [doi]
Controlling Negative Emergent Behavior by Graph Analysis at RuntimeJan Kantert, Sven Tomforde, Melanie Kauder, Richard Scharrer, Sarah Edenhofer, Jörg Hähner, Christian Müller-Schloer. taas, 11(2):7, 2016. [doi]
Incremental Design of Organic Computing Systems - Moving System Design from Design-Time to RuntimeSven Tomforde, Jörg Hähner, Christian Müller-Schloer. icinco 2013: 185-192 [doi]
An Artificial Immune System for Black Box Test Case SelectionLukas Rosenbauer, Anthony Stein, Jörg Hähner. evoW 2021: 169-184 [doi]
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier SystemMichael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner. bioma 2022: 142-156 [doi]
Self-Organisation and Evolution for Trust-Adaptive Grid Computing AgentsYvonne Bernard, Lukas Klejnowski, David Bluhm, Jörg Hähner, Christian Müller-Schloer. In Stefano Cagnoni, Marco Mirolli, Marco Villani, editors, Evolution, Complexity and Artificial Life. pages 209-224, Springer, 2014. [doi]
Flow-Aware Low-Latency Multipath TunnellingRichard Sailer, Jörg Hähner. lcn 2021: 383-386 [doi]
Update-linearizability: a consistency concept for the chronological ordering of events in MANETsJörg Hähner, Kurt Rothermel, Christian Becker. mass 2004: 1-10 [doi]
Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly DetectionAndreas Margraf, Henning Cui, Stefan Baumann, Jörg Hähner. ijcci 2023: 300-307 [doi]
Interactive Knowledge-Guided LearningRichard Nordsieck, Jörg Hähner. acsos 2020: 237-239 [doi]
Comparison of Dependency Measures for the Detection of Mutual Influences in Organic Computing SystemsStefan Rudolph, Rainer Hihn, Sven Tomforde, Jörg Hähner. arcs 2016: 334-347 [doi]
A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural KnowledgeRichard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner. semweb 2023: [doi]
Detecting and Isolating Inconsistently Behaving Agents using an Intelligent Control LoopJan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. icinco 2015: 246-253 [doi]
Predictive Load Balancing in Cloud Computing Environments Based on Ensemble ForecastingMatthias Sommer, Michael Klink, Sven Tomforde, Jörg Hähner. icac 2016: 300-307 [doi]
A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing SystemsMarkus Görlich-Bucher, Michael Heider, Tobias Ciemala, Jörg Hähner. arcs 2023: 37-47 [doi]
Design and Evaluation of an Extended Learning Classifier-Based StarCraft Micro AIStefan Rudolph, Sebastian von Mammen, Johannes Jungbluth, Jörg Hähner. evoW 2016: 669-681 [doi]
An Evolutionary Calibration Approach for Touch Interface Filter ChainsLukas Rosenbauer, Johannes Maier, Daniel Gerber, Anthony Stein, Jörg Hähner. icinco 2021: 29-38 [doi]
A Concept for Optimizing Motor Control Parameters Using Bayesian OptimizationHenning Cui, Markus Görlich-Bucher, Lukas Rosenbauer, Jörg Hähner, Daniel Gerber. icinco 2023: 107-114 [doi]
An Accusation-Based Strategy to Handle Undesirable Behaviour in Multi-agent SystemsSarah Edenhofer, Christopher Stifter, Uwe Jänen, Jan Kantert, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. icac 2015: 243-248 [doi]
Generic approaches for parallel rule matching in learning classifier systemsLukas Rosenbauer, Anthony Stein, Jörg Hähner. gecco 2020: 1789-1797 [doi]
Graph-Based Mobility Model for Mobile Ad Hoc Network SimulationJing Tian, Jörg Hähner, Christian Becker, Illya Stepanov, Kurt Rothermel. anss 2002: 337-344 [doi]
Self-learning Smart Cameras - Harnessing the Generalization Capability of XCSAnthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner. ijcci 2017: 129-140 [doi]
Organic Data: Ein sicheres, dezentralisiertes Big Data KonzeptSebastian von Mammen, Carsten Grenz, Jörg Hähner, Sabine Timpf, Daniel Loebenberger, Stefan Mandl, Oleksandr Kozachuk. gi 2014: 1241-1252
Self-Organised Routing for Road NetworksHolger Prothmann, Sven Tomforde, Johannes Lyda, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck. iwsos 2012: 48-59 [doi]
Towards Self-adaptive Defect Classification in Industrial MonitoringAndreas Margraf, Jörg Hähner, Philipp Braml, Steffen Geinitz. data 2020: 318-327 [doi]
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizationsMichael Heider, David Pätzel, Jörg Hähner. gecco 2020: 127-128 [doi]
ContextCube - Providing Context Information UbiquitouslyMartin Bauer, Christian Becker, Jörg Hähner, Gregor Schiele. icdcsw 2003: 308-313 [doi]
Task Execution in Distributed Smart SystemsUwe Jänen, Carsten Grenz, Sarah Edenhofer, Anthony Stein, Jürgen Brehm, Jörg Hähner. idcs 2015: 103-117 [doi]
Toward curious learning classifier systems: combining XCS with active learning conceptsAnthony Stein, Roland Maier, Jörg Hähner. gecco 2017: 1349-1356 [doi]
SupRB in the context of rule-based machine learning methods: A comparative studyMichael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner. asc, 147:110706, November 2023. [doi]
An Organic Computing Approach to Self-Organizing Robot EnsemblesSebastian von Mammen, Sven Tomforde, Jörg Hähner. firai, 2016:67, 2016. [doi]
Comparison of Surveillance Strategies to Identify Undesirable Behaviour in Multi-Agent SystemsSarah Edenhofer, Christopher Stifter, Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Jörg Hähner. icaart 2016: 132-140 [doi]
Cooperative Self-optimisation of Network Protocol Parameters at RuntimeSven Tomforde, Jan Kantert, Sebastian von Mammen, Jörg Hähner. icinco 2015: 123-130 [doi]
An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault DetectionAndreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner. icmla 2017: 147-154 [doi]
Cellular traffic offloading through network-assisted ad-hoc routing in cellular networksJörg Hähner, Klement Streit, Sven Tomforde. ISCC 2016: 469-476 [doi]
Improving Reliability and Endurance Using End-to-End Trust in Distributed Low-Power Sensor NetworksJan Kantert, Sergej Wildemann, Georg von Zengen, Sarah Edenhofer, Sven Tomforde, Lars C. Wolf, Jörg Hähner, Christian Müller-Schloer. arcs 2015: 135-145 [doi]
What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSFAnthony Stein, Simon Menssen, Jörg Hähner. gecco 2018: 537-544 [doi]
A Comprehensive Evaluation of Different Approaches to Tunnelling over Multiple PathsRichard Sailer, Jörg Hähner. lcn 2021: 391-394 [doi]
Semi-model-Based Reinforcement Learning in Organic Computing SystemsWenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner. arcs 2022: 241-255 [doi]
Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic EnvironmentsWenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner. algorithms, 14(8):226, 2021. [doi]
Measuring Similarities in Model Structure of Metaheuristic Rule Set LearnersDavid Pätzel, Richard Nordsieck, Jörg Hähner. evoW 2024: 256-272 [doi]
Interpolation-based classifier generation in XCSFAnthony Stein, Christian Eymuller, Dominik Rauh, Sven Tomforde, Jörg Hähner. cec 2016: 3990-3998 [doi]
Creating collaboration patterns in multi-agent systems with generic observer/controller architecturesEmre Cakar, Jörg Hähner, Christian Müller-Schloer. autonomics 2008: 6 [doi]
Trust Communities: An Open, Self-Organised Social Infrastructure of Autonomous AgentsSarah Edenhofer, Sven Tomforde, Jan Kantert, Lukas Klejnowski, Yvonne Bernard, Jörg Hähner, Christian Müller-Schloer. In Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer, Theo Ungerer, editors, Trustworthy Open Self-Organising Systems. Autonomic Systems, pages 127-152, Springer, 2015. [doi]
Aspects of Learning in OC SystemsEmre Cakar, Nugroho Fredivianus, Jörg Hähner, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck. In Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, editors, Organic Computing - A Paradigm Shift for Complex Systems. pages 237-251, Springer, 2011. [doi]
A Concept for Proactive Knowledge Construction in Self-Learning Autonomous SystemsAnthony Stein, Sven Tomforde, Ada Diaconescu, Jörg Hähner, Christian Müller-Schloer. saso 2018: 204-213 [doi]
A survey of formal theoretical advances regarding XCSDavid Pätzel, Anthony Stein, Jörg Hähner. gecco 2019: 1295-1302 [doi]
An Artificial Immune System for Adaptive Test SelectionLukas Rosenbauer, Anthony Stein, Jörg Hähner. ssci 2020: 2940-2947 [doi]
Interwoven SystemsSven Tomforde, Jörg Hähner, Bernhard Sick. insk, 37(5):483-487, 2014. [doi]
Correction: A Learning Classifier System for Automated Test Case Prioritization and SelectionLukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner. sncs, 3(6):462, 2022. [doi]
A Generic Architecture for Restricted On-line Learning of Network Protocol ParametersBjörn Hurling, Sven Tomforde, Jörg Hähner. saso 2010: 26-33 [doi]
Ensemble Time Series Forecasting with XCSFMatthias Sommer, Anthony Stein, Jörg Hähner. saso 2016: 150-151 [doi]
ROCAS: A Robust Online Algorithm for Spatial Partitioning in Distributed Smart Camera SystemsMartin Hoffmann, Jörg Hähner. icdsc 2007: 267-274 [doi]
Assessing Model Requirements for Explainable AI: A Template and Exemplary Case StudyMichael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner. alife, 29(4):468-486, Fall 2023. [doi]
Defending Autonomous Agents Against Attacks in Multi-Agent Systems Using NormsJan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. icaart 2015: 149-156
CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition ModellingAndreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich, Jörg Hähner. icinco 2021: 450-458 [doi]
Automation of User Interface Testing by Reinforcement Learning-Based Monkey AgentsDaniel Gerber, Urwashi Kapasiya, Lukas Rosenbauer, Jörg Hähner. cce2 2023: 3-15 [doi]
Sm@rtLibrary - An Infrastructure for Ubiquitous Technologies and ApplicationsMarie-Luise Moschgath, Jörg Hähner, Rolf Reinema. icdcsw 2001: 208-213 [doi]
Towards Self-organising Smart Camera SystemsMartin Hoffmann, Jörg Hähner, Christian Müller-Schloer. arcs 2008: 220-231 [doi]
Towards Models of Conceptual and Procedural Operator KnowledgeRichard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann, Jörg Hähner. semiim 2023: [doi]
Application-independent in-network storage optimization for distributed Smart Camera systemsCarsten Grenz, Fabian Asam, Jörg Hähner. icdsc 2013: 1-6 [doi]
OCbotics: An organic computing approach to collaborative robotic swarmsSebastian von Mammen, Sven Tomforde, Jörg Hähner, Patrick Lehner, Lukas Forschner, Andreas Hiemer, Mirela Nicola, Patrick Blickling. kit 2014: 90-97 [doi]
A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detectionChristian Gruhl, Bernhard Sick, Arno Wacker, Sven Tomforde, Jörg Hähner. icawst 2015: 194-200 [doi]
Adaptive Control of Sensor NetworksSven Tomforde, Ioannis Zgeras, Jörg Hähner, Christian Müller-Schloer. ATC 2010: 77-91 [doi]
Transfer Learning for Automated Test Case Prioritization Using XCSFLukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner. evoW 2021: 681-696 [doi]
Distributed three-dimensional camera alignment in highly-dynamical prioritized observation areasUwe Jänen, Matthias Huy, Carsten Grenz, Jörg Hähner, Martin Hoffmann. icdsc 2011: 1-6 [doi]
Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning AlgorithmsDavid Pätzel, Michael Heider, Jörg Hähner. gecco 2023: 1657-1662 [doi]
Decentralised Progressive Signal Systems for Organic Traffic ControlSven Tomforde, Holger Prothmann, Fabian Rochner, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck. saso 2008: 413-422 [doi]
Assisting Convergence Behaviour Characterisation with Unsupervised ClusteringHelena Stegherr, Michael Heider, Jörg Hähner. ijcci 2023: 108-118 [doi]
Beyond semantic interoperability in IoT ecosystemsDenis Kramer, Jörg Hähner. iot 2018: [doi]
Organic traffic light control for urban road networksHolger Prothmann, Jürgen Branke, Hartmut Schmeck, Sven Tomforde, Fabian Rochner, Jörg Hähner, Christian Müller-Schloer. ijaacs, 2(3):203-225, 2009. [doi]
Decentralised Route Guidance in Organic Traffic ControlHolger Prothmann, Hartmut Schmeck, Sven Tomforde, Johannes Lyda, Jörg Hähner, Christian Müller-Schloer, Jürgen Branke. saso 2011: 219-220 [doi]
Advanced Attacks to Trusted Communities in Multi-agent SystemsJan Kantert, Lukas Klejnowski, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. saso 2014: 186-191 [doi]
An Organic Computing System for Automated TestingLukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner. arcs 2021: 135-149 [doi]
Multi-object tracking using feed-forward neural networksUwe Jänen, Christian Paul, Michael Wittke, Jörg Hähner. socpar 2010: 176-181 [doi]
XCS as a reinforcement learning approach to automatic test case prioritizationLukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner. gecco 2020: 1798-1806 [doi]
Reinforcement Learning for Coverage Optimization Through PTZ Camera Alignment in Highly Dynamic EnvironmentsStefan Rudolph, Sarah Edenhofer, Sven Tomforde, Jörg Hähner. icdsc 2014: [doi]
A Mutual Influence Detection Algorithm for Systems with Local Performance MeasurementStefan Rudolph, Sven Tomforde, Bernhard Sick, Jörg Hähner. saso 2015: 144-149 [doi]
Robust Self-Monitoring in Trusted Desktop Grids for Self-Configuration at RuntimeJan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. saso 2014: 178-185 [doi]
MIDSCA: Towards a Smart Camera architecture of mobile internet devicesMichael Wittke, Martin Hoffmann, Jörg Hähner, Christian Müller-Schloer. icdsc 2008: 1-10 [doi]
An analytical study of the communication cost of data-centric storage in mobile ad hoc networksDominique Dudkowski, Jörg Hähner. adhoc, 10(3):356-372, 2012. [doi]
Model-Driven Optimisation of Monitoring System Configurations for Batch ProductionAndreas Margraf, Henning Cui, Simon Heimbach, Jörg Hähner, Steffen Geinitz, Stephan Rudolph. modelsward 2023: 176-183 [doi]
An Adaptive Flow-Aware Packet Scheduling Algorithm for Multipath TunnellingRichard Sailer, Jörg Hähner. lcn 2019: 109-112 [doi]
Observation and Control of Organic SystemsSven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Moez Mnif, Christian Müller-Schloer, Urban Richter, Hartmut Schmeck. In Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, editors, Organic Computing - A Paradigm Shift for Complex Systems. pages 325-338, Springer, 2011. [doi]
Bootstrapping a DQN Replay Memory with Synthetic ExperiencesWenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner. ijcci 2020: 404-411 [doi]
A Concept for Securing Cyber-Physical Systems with Organic Computing TechniquesJörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker. arcs 2013: [doi]
A quantitative analysis of partitioning in mobile ad hoc networksJörg Hähner, Dominique Dudkowski, Pedro José Marrón, Kurt Rothermel. sigmetrics 2004: 400-401 [doi]
Application of Uncertainty-Aware Sensor Fusion in Physical Sensor NetworksMaximilian Gruber, Wenzel Pilar von Pilchau, Varun Gowtham, Nikolaos-Stefanos Koutrakis, Nicolas Schönborn, Sascha Eichstädt, Jörg Hähner, Marius Iulian Corici, Thomas Magedanz, Julian Polte, Eckart Uhlmann. i2mtc 2022: 1-6 [doi]
XCSF with Experience Replay for Automatic Test Case PrioritizationLukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner. ssci 2020: 1307-1314 [doi]
Using Trust to reduce wasteful computation in open Desktop Grid SystemsLukas Klejnowski, Yvonne Bernard, Christian Müller-Schloer, Jörg Hähner. PST 2012: 250-255 [doi]
A Germinal Center Artificial Immune System for Black Box Test SelectionLukas Rosenbauer, Anthony Stein, Jörg Hähner. sncs, 4(1):55, 2023. [doi]
Comparing different metaheuristics for model selection in a supervised learning classifier systemJonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner. gecco 2022: 316-319 [doi]
Evolutionary Touch Filter Chain CalibrationDaniel Gerber, Lukas Rosenbauer, Pia Lindner, Johannes Maier, Anthony Stein, Jörg Hähner. sncs, 4(1):26, 2023. [doi]
Dealing with Unforeseen Situations in the Context of Self-Adaptive Urban Traffic Control: How to Bridge the GapAnthony Stein, Sven Tomforde, Dominik Rauh, Jörg Hähner. icac 2016: 167-172 [doi]
Discovering Rules for Rule-Based Machine Learning with the Help of Novelty SearchMichael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner. sncs, 4(6):778, November 2023. [doi]
Consistent Context Management in Mobile Ad Hoc NetworksJörg Hähner, Christian Becker, Pedro José Marrón. gi 2004: 308-313
Reducing Search Space of Genetic Algorithms for Fast Black Box Attacks on Image ClassifiersJulius Brandl, Nicolas Breinl, Maximilian Demmler, Lukas Hartmann, Jörg Hähner, Anthony Stein. ki 2019: 115-122 [doi]
Dynamic Control of Mobile Ad-hoc Networks - Network Protocol Parameter Adaptation using Organic Network ControlSven Tomforde, Björn Hurling, Jörg Hähner. icinco 2010: 28-35
Metaheuristics for the Minimum Set Cover Problem: A ComparisonLukas Rosenbauer, Anthony Stein, Helena Stegherr, Jörg Hähner. ijcci 2020: 123-130 [doi]
Selbstorganisierende Smart-Kamera-SystemeJörg Hähner, Uwe Jänen, Carsten Grenz, Martin Hoffmann. insk, 35(2):93-101, 2012. [doi]
Analysing Metaheuristic ComponentsHelena Stegherr, Jörg Hähner. lifelike 2021: [doi]
A Learning Classifier System for Automated Test Case Prioritization and SelectionLukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner. sncs, 3(5):373, 2022. [doi]
Augmenting the Algorithmic Structure of XCS by Means of InterpolationAnthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner. arcs 2016: 348-360 [doi]
SmaCCS: Smart Camera Cloud Services - Towards an Intelligent Cloud-based Surveillance SystemSven Tomforde, Uwe Jänen, Jörg Hähner, Martin Hoffmann. icinco 2013: 288-293 [doi]
DMCtrac: Distributed multi camera trackingMartin Hoffmann, Michael Wittke, Yvonne Bernard, Ramin Soleymani, Jörg Hähner. icdsc 2008: 1-10 [doi]
PhD forum: Competing agents for distributed object-tracking in smart camera networksUwe Jänen, Jörg Hähner, Christian Müller-Schloer. icdsc 2009: 1-2 [doi]
Quantifying Network Partitioning in Mobile Ad Hoc NetworksJörg Hähner, Dominique Dudkowski, Pedro José Marrón, Kurt Rothermel. MDM 2007: 174-181 [doi]
On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose MachinesLukas Meitz, Michael Heider, Thorsten Schöler, Jörg Hähner. data 2023: 606-612 [doi]
Organic Network ControlSven Tomforde, Jörg Hähner. In Pietro Lio', Dinesh C. Verma, editors, Biologically Inspired Networking and Sensing - Algorithms and Architectures. pages 11-35, IGI Global, 2012. [doi]
A Germinal Centre Artificial Immune System for Software Test Suite ReductionLukas Rosenbauer, Anthony Stein, Jörg Hähner. lifelike 2021: [doi]
An algebraic description of XCSDavid Pätzel, Jörg Hähner. gecco 2018: 1434-1441 [doi]
Towards Trust in Desktop Grid SystemsYvonne Bernard, Lukas Klejnowski, Jörg Hähner, Christian Müller-Schloer. ccgrid 2010: 637-642 [doi]
CamInSens - demonstration of a distributed smart camera system for in-situ threat detectionCarsten Grenz, Uwe Jänen, Uwe Jänen, Jörg Hähner, Jörg Hähner, Colin Kuntzsch, Moritz Menze, David d'Angelo, Manfred Bogen, Eduardo Monari. icdsc 2012: 1-2 [doi]
Spatial Partitioning in Self-Organizing Smart Camera SystemsMartin Hoffmann, Michael Wittke, Jörg Hähner, Christian Müller-Schloer. jstsp, 2(4):480-492, 2008. [doi]
A meta-model and framework for user mobility in mobile networksIllya Stepanov, Jörg Hähner, Christian Becker, Jing Tian, Kurt Rothermel. icon 2003: 231-238 [doi]
Classifying Metaheuristics: Towards a unified multi-level classification systemHelena Stegherr, Michael Heider, Jörg Hähner. nc, 21(2):155-171, 2022. [doi]
XCSF for Automatic Test Case PrioritizationLukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner. ijcci 2020: 49-58 [doi]
A Graph Analysis Approach to Detect Attacks in Multi-agent Systems at RuntimeJan Kantert, Hannes Scharf, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. saso 2014: 80-89 [doi]
Local ensemble weighting in the context of time series forecasting using XCSFMatthias Sommer, Anthony Stein, Jörg Hähner. ssci 2016: 1-8 [doi]
Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic ProgrammingHenning Cui, David Pätzel, Andreas Margraf, Jörg Hähner. foga 2023: 50-60 [doi]
Towards Understanding Crossover for Cartesian Genetic ProgrammingHenning Cui, Andreas Margraf, Michael Heider, Jörg Hähner. ijcci 2023: 308-314 [doi]
Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in ManufacturingRichard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner. semco 2022: 131-138 [doi]
Flexibility in Organic Systems - Remarks on Mechanisms for Adapting System Goals at RuntimeChristian Becker, Jörg Hähner, Sven Tomforde. icinco 2012: 287-292
A Mutual Influence-based Learning AlgorithmStefan Rudolph, Sven Tomforde, Jörg Hähner. icaart 2016: 181-189 [doi]
Implementing an Adaptive Higher Level Observer in Trusted Desktop Grid to Control NormsJan Kantert, Hannes Scharf, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. icinco 2014: 288-295 [doi]
Separating rule discovery and global solution composition in a learning classifier systemMichael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner. gecco 2022: 248-251 [doi]
Towards Autonomous Self-Tests at RuntimeHenner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde. saso 2016: 98-99 [doi]
"Know Thyself" - Computational Self-Reflection in Intelligent Technical SystemsSven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick, Kurt Geihs. saso 2014: 150-159 [doi]
CamInSens - demonstration of a distributed smart camera system for in-situ threat detectionCarsten Grenz, Uwe Jänen, Uwe Jänen, Jörg Hähner, Jörg Hähner, Colin Kuntzsch, Moritz Menze, David d'Angelo, Manfred Bogen, Eduardo Monari. icdsc 2012: 1-2 [doi]
PhD forum: Adaptive storage management in highly heterogeneous Smart Sensor systemsCarsten Grenz, Jörg Hähner. icdsc 2011: 1-2 [doi]
Equidistant Reorder Operator for Cartesian Genetic ProgrammingHenning Cui, Andreas Margraf, Jörg Hähner. ijcci 2023: 64-74 [doi]
Evolving network protocolsBjörn Hurling, Sven Tomforde, Stefan Rudolph, Jörg Hähner, Christian Müller-Schloer. icac 2011: 173-174 [doi]
Investigation of Generic Observer/Controller Architectures in a Traffic ScenarioEmre Cakar, Jörg Hähner, Christian Müller-Schloer. gi 2008: 733-738
Access-Centric In-Network Storage Optimization in Distributed Sensing NetworksCarsten Grenz, Sven Tomforde, Jörg Hähner. In Paolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante, editors, Human Behavior Understanding in Networked Sensing - Theory and Applications of Networks of Sensors. pages 19-44, Springer, 2014. [doi]
Organic Network ControlBjörn Hurling, Sven Tomforde, Jörg Hähner. In Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, editors, Organic Computing - A Paradigm Shift for Complex Systems. pages 611-613, Springer, 2011. [doi]
Consistent data replication in mobile ad hoc networksJörg Hähner. PhD thesis, University of Stuttgart, 2007. [doi]
Marketplace-Oriented Behavior in Semantic Multi-Criteria Decision Making Autonomous SystemsGhadi Mahmoudi, Christian Müller-Schloer, Jörg Hähner. arcs 2009: 120-134 [doi]
Distributed Network Protocol Parameter Adaptation in Mobile Ad-Hoc NetworksSven Tomforde, Björn Hurling, Jörg Hähner. icinco 2011: 91-104 [doi]
Interactive Simulation of an Open Trusted Desktop Grid System with Visualisation in 3DJan Kantert, Sebastian Bodelt, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. saso 2014: 191-192 [doi]
Normative Control: Controlling Open Distributed Systems with Autonomous EntitiesJan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer. In Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer, Theo Ungerer, editors, Trustworthy Open Self-Organising Systems. Autonomic Systems, pages 89-126, Springer, 2015. [doi]
ENRA: Event-based network reconfiguration algorithm for Active Camera NetworksMichael Wittke, Alvaro del Amo Jimenez, Sascha Radike, Carsten Grenz, Jörg Hähner. icdsc 2011: 1-6 [doi]
Forecast-augmented Route Guidance in Urban Traffic Networks based on Infrastructure ObservationsMatthias Sommer, Sven Tomforde, Jörg Hähner. vehits 2016: 177-186 [doi]
Design of large-scale metaheuristic component studiesHelena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner. gecco 2021: 1217-1226 [doi]
Restricted on-line learning in real-world systemsSven Tomforde, Andreas Brameshuber, Jörg Hähner, Christian Müller-Schloer. cec 2011: 1628-1635 [doi]
An Organic Computing Approach to Resilient Traffic ManagementMatthias Sommer, Sven Tomforde, Jörg Hähner. In Thomas Leo McCluskey, Apostolos Kotsialos, Jörg P. Müller, Franziska Klügl, Omer Rana, René Schumann, editors, Autonomic Road Transport Support Systems. pages 113-130, Springer, 2016. [doi]
Possibilities and limitations of decentralised traffic control systemsSven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck. ijcnn 2010: 1-9 [doi]
HTMT: High-Throughput Multipath Tunnelling for Asymmetric PathsRichard Sailer, Jörg Hähner. networking 2021: 1-3 [doi]
The Social Concept of Trust as Enabler for Robustness in Open Self-Organising SystemsGerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Wolfgang Reif, Elisabeth André, Jörg Hähner, Christian Müller-Schloer, Theo Ungerer. In Wolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer, Theo Ungerer, editors, Trustworthy Open Self-Organising Systems. Autonomic Systems, pages 1-16, Springer, 2015. [doi]
Efficiency and Robustness Using Trusted Communities in a Trusted Desktop GridYvonne Bernard, Lukas Klejnowski, Emre Çakar, Jörg Hähner, Christian Müller-Schloer. saso 2011: 21-26 [doi]
XCSF under limited supervisionMarkus Görlich-Bucher, Jörg Hähner. gecco 2022: 2080-2085 [doi]
Towards Automated Parameter Optimisation of Machinery by Persisting Expert KnowledgeRichard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner. icinco 2019: 406-413 [doi]
Towards Organic Active Vision Systems for Visual SurveillanceMichael Wittke, Carsten Grenz, Jörg Hähner. arcs 2011: 195-206 [doi]
Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control SystemMatthias Sommer, Jörg Hähner. vehits 2017: 203-210 [doi]
Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of MetaheuristicsJonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner. gecco 2023: 1900-1909 [doi]
Maintaining update-linearizability for replicated information in MANETsJörg Hähner, Christian Becker, Pedro José Marrón, Kurt Rothermel. comsware 2006: 1-10
Trustworthy Open Self-Organising SystemsWolfgang Reif, Gerrit Anders, Hella Seebach, Jan-Philipp Steghöfer, Elisabeth André, Jörg Hähner, Christian Müller-Schloer, Theo Ungerer, editors, Autonomic Systems, Springer, 2016. [doi]
Knowledge Extraction via Decentralized Knowledge Graph AggregationRichard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner. semco 2021: 92-99 [doi]
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical SystemsWenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner. FedCSIS 2020: 53-57 [doi]
Approaches for Rule Discovery in a Learning Classifier SystemMichael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner. ijcci 2022: 39-49 [doi]
Self-organising Distributed Smart Camera SystemsMichael Wittke, Jörg Hähner. In Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer, editors, Organic Computing - A Paradigm Shift for Complex Systems. pages 609-610, Springer, 2011. [doi]
Refining Mutation Variants in Cartesian Genetic ProgrammingHenning Cui, Andreas Margraf, Jörg Hähner. bioma 2022: 185-200 [doi]
Distributed Vision Graph Update in Mobile Vision NetworksMichael Wittke, Jörg Hähner. arcs 2010: 39-44 [doi]
A Protocol for Data Dissemination in Frequently Partitioned Mobile Ad Hoc NetworksJörg Hähner, Christian Becker, Kurt Rothermel. ISCC 2003: 633-640 [doi]
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic ExperiencesWenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner. ijcnn 2023: 1-9 [doi]
Learning Classifier Systems for Road Traffic Congestion DetectionMatthias Sommer, Jörg Hähner. vehits 2017: 142-150 [doi]
Learning Classifier Systems for Self-Explaining Socio-Technical-SystemsMichael Heider, Richard Nordsieck, Jörg Hähner. lifelike 2021: [doi]
The Bayesian learning classifier system: implementation, replicability, comparison with XCSFDavid Pätzel, Jörg Hähner. gecco 2022: 413-421 [doi]
Towards an Organic Network Control SystemSven Tomforde, Marcel Steffen, Jörg Hähner, Christian Müller-Schloer. ATC 2009: 2-16 [doi]
AMiDiViN: basic algorithms for alarm management in distributed vision networksMartin Hoffmann, Uwe Jänen, Ahmed Fares, Jörg Hähner. icdsc 2010: 150-157 [doi]
Requirements of Peer-to-Peer-based Massively Multiplayer Online GamingGregor Schiele, Richard Süselbeck, Arno Wacker, Jörg Hähner, Christian Becker, Torben Weis. ccgrid 2007: 773-782 [doi]
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic ProgrammingAndreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner. acsos 2023: 133-138 [doi]
Mutual Influence-aware Runtime Learning of Self-adaptation BehaviorStefan Rudolph, Sven Tomforde, Jörg Hähner. taas, 14(1), 2019. [doi]

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