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Martin V. Butz
Martin Butz
2010 – today
- 2013
[j22]Stephan Ehrenfeld, Martin V. Butz: The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion. Biological Cybernetics 107(1): 61-82 (2013)- 2012
- [j21]Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz: Function approximation with LWPR and XCSF: a comparative study. Evolutionary Intelligence 5(2): 103-116 (2012)
- [j20]Martin V. Butz, Olivier Sigaud: XCSF with local deletion: preventing detrimental forgetting. Evolutionary Intelligence 5(2): 117-127 (2012)
- [j19]Patrick O. Stalph, Martin V. Butz: Learning local linear Jacobians for flexible and adaptive robot arm control. Genetic Programming and Evolvable Machines 13(2): 137-157 (2012)
- [j18]Danil Koryakin, Johannes Lohmann, Martin V. Butz: Balanced echo state networks. Neural Networks 36: 35-45 (2012)
- [j17]Patrick O. Stalph, Xavier Llorà, David E. Goldberg, Martin V. Butz: Resource management and scalability of the XCSF learning classifier system. Theor. Comput. Sci. 425: 126-141 (2012)
- [c67]Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz: Filtering sensory information with XCSF: improving learning robustness and control performance. GECCO 2012: 871-878
- [c66]
- [c65]Danil Koryakin, Martin V. Butz: Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. ICANN (1) 2012: 499-506
- [c64]Stephan Ehrenfeld, Martin V. Butz: Autonomous failure detection and multimodal sensor fusion in a modular arm model. IROS 2012: 2186-2191
- [c63]Andreas Alin, Martin V. Butz, Jannik Fritsch: Incorporating environmental knowledge into Bayesian filtering using attractor functions. Intelligent Vehicles Symposium 2012: 476-481
- 2011
- [j16]Yuuya Sugita, Jun Tani, Martin V. Butz: Simultaneously emerging Braitenberg codes and compositionality. Adaptive Behaviour 19(5): 295-316 (2011)
- [j15]Martin V. Butz, M. J. Linhardt, Thies D. Lönneker: Effective Racing on Partially Observable Tracks: Indirectly Coupling Anticipatory Egocentric Sensors With Motor Commands. IEEE Trans. Comput. Intellig. and AI in Games 3(1): 31-42 (2011)
- [c62]Martin V. Butz, Olivier Sigaud: XCSF with local deletion: preventing detrimental forgetting. GECCO (Companion) 2011: 383-390
- [c61]Anke Endler, Martin V. Butz, Günter Daniel Rey: Extracting adaptation strategies for e-learning programs with XCS. GECCO (Companion) 2011: 743-746
- [c60]
- [c59]Martin V. Butz, Patrick O. Stalph: Modularization of xcsf for multiple output dimensions. GECCO 2011: 1243-1250
- [c58]Stephan Ehrenfeld, Martin V. Butz: A modular, redundant, multi-frame of reference representation for kinematic chains. ICRA 2011: 141-147
- [c57]Andreas Alin, Martin V. Butz, Jannik Fritsch: Tracking moving vehicles using an advanced grid-based Bayesian filter approach. Intelligent Vehicles Symposium 2011: 466-472
- 2010
- [j14]Martin V. Butz, Elshad Shirinov, Kevin L. Reif: Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior. Adaptive Behaviour 18(3-4): 315-337 (2010)
- [j13]Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A. Pelta, Martin V. Butz, Thies D. Lönneker, Luigi Cardamone, Diego Perez, Yago Sáez, Mike Preuss, Jan Quadflieg: The 2009 Simulated Car Racing Championship. IEEE Trans. Comput. Intellig. and AI in Games 2(2): 131-147 (2010)
- [c56]Gerulf K. M. Pedersen, Martin V. Butz: Evolving robust controller parameters using covariance matrix adaptation. GECCO 2010: 1251-1258
- [c55]Patrick O. Stalph, Jérémie Rubinsztajn, Olivier Sigaud, Martin V. Butz: A comparative study: function approximation with LWPR and XCSF. GECCO (Companion) 2010: 1863-1870
- [c54]
- [p7]Oliver Herbort, Martin V. Butz, Gerulf K. M. Pedersen: The SURE_REACH Model for Motor Learning and Control of a Redundant Arm: From Modeling Human Behavior to Applications in Robotics. From Motor Learning to Interaction Learning in Robots 2010: 85-106
- [e6]Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz (Eds.): Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers. Lecture Notes in Computer Science 6471, Springer 2010, ISBN 978-3-642-17507-7
2000 – 2009
- 2009
- [j12]Martin V. Butz, Pier Luca Lanzi: Sequential problems that test generalization in learning classifier systems. Evolutionary Intelligence 2(3): 141-147 (2009)
- [c53]Martin V. Butz, Thies D. Lönneker: Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge. CIG 2009: 317-324
- [c52]Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild: Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO 2009: 851-858
- [c51]Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph: Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. GECCO 2009: 1171-1178
- [c50]Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà: On the scalability of XCS(F). GECCO 2009: 1315-1322
- [c49]Matthias J. Linhardt, Martin V. Butz: NEAT in increasingly non-linear control situations. GECCO (Companion) 2009: 2091-2096
- [c48]Patrick O. Stalph, Martin V. Butz: How Fitness Estimates Interact with Reproduction Rates: Towards Variable Offspring Set Sizes in XCSF. IWLCS 2009: 47-56
- [c47]
- [c46]Patrick O. Stalph, Martin V. Butz, Gerulf K. M. Pedersen: Controlling a Four Degree of Freedom Arm in 3D Using the XCSF Learning Classifier System. KI 2009: 193-200
- [c45]Martin V. Butz, Gerulf K. M. Pedersen: The Scared Robot: Motivations in a Simulated Robot Arm. KI 2009: 460-467
- [e5]Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre (Eds.): Anticipatory Behavior in Adaptive Learning Systems, From Psychological Theories to Artificial Cognitive Systems [4th Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, Munich, Germany, June 26-27, 2008]. Lecture Notes in Computer Science 5499, Springer 2009, ISBN 978-3-642-02564-8
- 2008
- [e4]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone (Eds.): The Challenge of Anticipation, A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems. Lecture Notes in Computer Science 5225, Springer 2008, ISBN 978-3-540-87701-1
- [j11]
- [j10]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction. IEEE Trans. Evolutionary Computation 12(3): 355-376 (2008)
- [c44]Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre: From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. ABiALS 2008: 1-9
- [c43]Olivier Sigaud, Martin V. Butz, Olga Kozlova, Christophe Meyer: Anticipatory Learning Classifier Systems and Factored Reinforcement Learning. ABiALS 2008: 321-333
- [c42]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono: An analysis of matching in learning classifier systems. GECCO 2008: 1349-1356
- [c41]Martin V. Butz, Oliver Herbort: Context-dependent predictions and cognitive arm control with XCSF. GECCO 2008: 1357-1364
- [c40]Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi: Self-adaptive mutation in XCSF. GECCO 2008: 1365-1372
- [c39]Patrick O. Stalph, Martin V. Butz: Towards increasing learning speed and robustness of XCSF: experimenting with larger offspring set sizes. GECCO (Companion) 2008: 2023-2030
- [c38]
- [c37]Franziska Klügl, Reinhard Hatko, Martin V. Butz: Agent Learning Instead of Behavior Implementation for Simulations - A Case Study Using Classifier Systems. MATES 2008: 111-122
- [p6]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone: Introduction: Anticipation in Natural and Artificial Cognition. The Challenge of Anticipation 2008: 3-22
- [p5]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi: The Anticipatory Approach: Definitions and Taxonomies. The Challenge of Anticipation 2008: 23-43
- [p4]Martin V. Butz, Giovanni Pezzulo: Benefits of Anticipations in Cognitive Agents. The Challenge of Anticipation 2008: 45-62
- [p3]Martin V. Butz, Oliver Herbort, Giovanni Pezzulo: Anticipatory, Goal-Directed Behavior. The Challenge of Anticipation 2008: 85-113
- [p2]Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone, Gianluca Baldassarre, Christian Balkenius, Alexander Förster, Maurice Grinberg, Oliver Herbort, Kiril Kiryazov, Boicho N. Kokinov, Birger Johansson, Emilian Lalev, Emiliano Lorini, Carlos Martinho, Maria Miceli, Dimitri Ognibene, Ana Paiva, Georgi Petkov, Michele Piunti, Vin Thorsteinsdottir: Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. The Challenge of Anticipation 2008: 237-254
- [e3]Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama (Eds.): Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4998, Springer 2008, ISBN 978-3-540-88137-7
- 2007
- [j9]Joachim Hoffmann, Michael Berner, Martin V. Butz, Oliver Herbort, Andrea Kiesel, Wilfried Kunde, Alexandra Lenhard: Explorations of anticipatory behavioral control (ABC): a report from the cognitive psychology unit of the University of Würzburg. Cognitive Processing 8(2): 133-142 (2007)
- [j8]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry: Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007)
- [c36]Pier Luca Lanzi, Martin V. Butz, David E. Goldberg: Empirical analysis of generalization and learning in XCS with gradient descent. GECCO 2007: 1814-1821
- [c35]
- [c34]Martin V. Butz: Combining Gradient-Based With Evolutionary Online Learning: An Introduction to Learning Classifier Systems. HIS 2007: 12-17
- [c33]Oliver Herbort, Martin V. Butz: Encoding Complete Body Models Enables Task Dependent Optimal Behavior. IJCNN 2007: 1639-1644
- [c32]Martin V. Butz, Alexandra Lenhard, Oliver Herbort: Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. IJCNN 2007: 1970-1975
- [c31]Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz: Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS 2007: 1-21
- [e2]Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre (Eds.): Anticipatory Behavior in Adaptive Learning Systems, From Brains to Individual and Social Behavior [the book is a result from the third workshop on anticipatory behavior in adaptive learning systems, ABiALS 2006, Rome, Italy, September 30, 2006, colocated with SAB 2006]. Lecture Notes in Computer Science 4520, Springer 2007, ISBN 978-3-540-74261-6
- 2006
- [b1]Martin V. Butz: Rule-Based Evolutionary Online Learning Systems - A Principled Approach to LCS Analysis and Design. Studies in Fuzziness and Soft Computing 191, Springer 2006, ISBN 978-3-540-25379-2, pp. 1-225
- [j7]Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Automated Global Structure Extraction for Effective Local Building Block Processing in XCS. Evolutionary Computation 14(3): 345-380 (2006)
- [c30]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432
- [c29]Martin V. Butz, Martin Pelikan: Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. GECCO 2006: 1449-1456
- [c28]Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson: Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. GECCO 2006: 1457-1464
- [c27]Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo: Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN 2006: 232-241
- [c26]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797
- [c25]Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre: Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. SAB ABiALS 2006: 1-18
- [c24]Giovanni Pezzulo, Gianluca Baldassarre, Martin V. Butz, Cristiano Castelfranchi, Joachim Hoffmann: From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. SAB ABiALS 2006: 73-93
- [p1]Martin Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Effective and Reliable Online Classification Combining XCS with EDA Mechanisms. Scalable Optimization via Probabilistic Modeling 2006: 249-273
- 2005
- [j6]Martin V. Butz, Kumara Sastry, David E. Goldberg: Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genetic Programming and Evolvable Machines 6(1): 53-77 (2005)
- [j5]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient descent methods in learning classifier systems: improving XCS performance in multistep problems. IEEE Trans. Evolutionary Computation 9(5): 452-473 (2005)
- [c23]Martin V. Butz, Martin Pelikan, Xavier Llorà, David E. Goldberg: Extracted global structure makes local building block processing effective in XCS. GECCO 2005: 655-662
- [c22]Martin V. Butz: Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. GECCO 2005: 1835-1842
- [c21]Arnaud Quirin, Jerzy J. Korczak, Martin V. Butz, David E. Goldberg: Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification. ISDA 2005: 280-285
- [c20]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Effect of Pure Error-Based Fitness in XCS. IWLCS 2005: 104-114
- [c19]Jaume Bacardit, Martin V. Butz: Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. IWLCS 2005: 282-290
- [c18]Jaume Bacardit, David E. Goldberg, Martin V. Butz: Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS 2005: 291-307
- 2004
- [j4]Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson: Toward a theory of generalization and learning in XCS. IEEE Trans. Evolutionary Computation 8(1): 28-46 (2004)
- [c17]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Bounding Learning Time in XCS. GECCO (2) 2004: 739-750
- [c16]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi: Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. GECCO (2) 2004: 751-762
- [c15]Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu: Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN 2004: 1021-1031
- [c14]Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg: Knowledge Extraction and Problem Structure Identification in XCS. PPSN 2004: 1051-1060
- 2003
- [j3]Martin Butz, David E. Goldberg, Kurian K. Tharakunnel: Analysis and Improvement of Fitness Exploitation in XCS: Bounding Models, Tournament Selection, and Bilateral Accuracy. Evolutionary Computation 11(3): 239-277 (2003)
- [c13]Martin Butz, Olivier Sigaud, Pierre Gérard: Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. ABiALS 2003: 1-10
- [c12]Martin Butz, Olivier Sigaud, Pierre Gérard: Internal Models and Anticipations in Adaptive Learning Systems. ABiALS 2003: 86-109
- [c11]Martin Butz, David E. Goldberg: Generalized State Values in an Anticipatory Learning Classifier System. ABiALS 2003: 282-301
- [c10]Martin Butz, David E. Goldberg: Bounding the Population Size in XCS to Ensure Reproductive Opportunities. GECCO 2003: 1844-1856
- [c9]Martin Butz, Kumara Sastry, David E. Goldberg: Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869
- [c8]Kurian K. Tharakunnel, Martin Butz, David E. Goldberg: Towards Building Block Propagation in XCS: A Negative Result and Its Implications. GECCO 2003: 1906-1917
- [e1]Martin Butz, Olivier Sigaud, Pierre Gérard (Eds.): Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems. Lecture Notes in Computer Science 2684, Springer 2003, ISBN 3-540-40429-5
- 2002
- [j2]Martin V. Butz, Joachim Hoffmann: Anticipations Control Behavior: Animal Behavior in an Anticipatory Learning Classifier System. Adaptive Behaviour 10(2): 75-96 (2002)
- [j1]Martin Butz, Stewart W. Wilson: An algorithmic description of XCS. Soft Comput. 6(3-4): 144-153 (2002)
- 2001
- [c7]
- [c6]
- 2000
- [c5]Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach. GECCO 2000: 42-49
- [c4]Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Probability-Enhanced Predictions in the Anticipatory Classifier System. IWLCS 2000: 37-51
- [c3]
- [c2]Martin Butz, David E. Goldberg, Wolfgang Stolzmann: Investigating Generalization in the Anticipatory Classifier System. PPSN 2000: 735-744
1990 – 1999
- 1999
- [c1]Wolfgang Stolzmann, Martin Butz: Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems. Learning Classifier Systems 1999: 301-320
Coauthor Index
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last updated on 2013-05-25 21:25 CEST by the dblp team