Martin V. Butz

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David E. GoldbergFounder & President, Big Beacon & Professor Emeritus, UIUCVerified email at threejoy.com
Oliver HerbortJulius-Maximilians-Universität WürzburgVerified email at psychologie.uni-wuerzburg.de
Pier Luca LanziPolitecnico di MilanoVerified email at polimi.it
Olivier Sigaudprofesseur d'informatique, Sorbonne UniversitéVerified email at upmc.fr
Giovanni PezzuloNational Research Council of Italy, RomeVerified email at istc.cnr.it
Martin PelikanResearcher, AppleVerified email at martinpelikan.net
Joachim HoffmannProfessor für Kognitive PsychologieVerified email at psychologie.uni-wuerzburg.de
Anna BelardinelliPrincipal Scientist, Honda Research Institute EuropeVerified email at honda-ri.de
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, Italian National ResearchVerified email at istc.cnr.it
Jaume BacarditReader in Machine Learning, Newcastle UniversityVerified email at newcastle.ac.uk
Andrea KieselUniversity of FreiburgVerified email at psychologie.uni-freiburg.de
Wilfried KundeProfessor of Psychology, University of WuerzburgVerified email at psychologie.uni-wuerzburg.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
Jan DrugowitschAssociate Professor, Harvard Medical SchoolVerified email at hms.harvard.edu
Christian PlewniaProfessor for Psychiatry and Psychotherapy, University of Tübingen, GermanyVerified email at uni-tuebingen.de
Jannik FritschNVIDIA Autonomous Vehicles SoftwareVerified email at nvidia.com
Rino FalconeResearch Director at Institute of Cognitive Sciences and Technologies - National Research Council ofVerified email at istc.cnr.it
Philipp Alexander SchroederDepartment of Psychology, University of TübingenVerified email at uni-tuebingen.de
Fernando G. LoboAssociate Professor, University of AlgarveVerified email at ualg.pt
Günter Daniel ReyPsychologie digitaler Lernmedien, Institut für Medienforschung, Technische Universität ChemnitzVerified email at Phil.TU-Chemnitz.de

Martin V. Butz

Professor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität Tübingen

Verified email at uni-tuebingen.de - Homepage

Cognitive Science Machine Learning Cognitive Models Anticipation Bayesian Modeling


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An algorithmic description of XCS MV Butz, SW Wilson Soft Computing 6 (3), 144-153, 2002	666	2002
Toward a theory of generalization and learning in XCS MV Butz, T Kovacs, PL Lanzi, SW Wilson IEEE transactions on evolutionary computation 8 (1), 28-46, 2004	266	2004
Rule-based evolutionary online learning systems MV Butz Springer-Verlag, 2006	221	2006
Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy MV Butz, DE Goldberg, K Tharakunnel Evolutionary Computation 11 (3), 2003	128	2003
Function approximation with XCS: Hyperellipsoidal conditions, recursive least squares, and compaction MV Butz, PL Lanzi, SW Wilson IEEE Transactions on Evolutionary Computation 12 (3), 355-376, 2008	125	2008
Anticipatory behavior in adaptive learning systems: Foundations, Theories, and Systems MV Butz, O Sigaud, P Gérard Springer-Verlag Berlin Heidelberg, 2003	123	2003
The 2009 simulated car racing championship D Loiacono, PL Lanzi, J Togelius, E Onieva, DA Pelta, MV Butz, ... IEEE Transactions on Computational Intelligence and AI in Games 2 (2), 131-147, 2010	122	2010
Internal models and anticipations in adaptive learning systems MV Butz, O Sigaud, P Gerard Anticipatory behavior in adaptive learning systems, 86-109, 2003	117	2003
Anticipatory behavior: Exploiting knowledge about the future to improve current behavior MV Butz, O Sigaud, P Gérard Anticipatory behavior in adaptive learning systems, 1-10, 2003	111	2003
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, MV Butz Learning Classifier Systems, 282-290, 2003	108	2003
Gradient descent methods in learning classifier systems: Improving XCS performance in multistep problems MV Butz, DE Goldberg, PL Lanzi IEEE Transactions on Evolutionary Computation 9 (5), 452-473, 2005	107	2005
Anticipatory learning classifier systems MV Butz Springer Science & Business Media, 2002	107	2002
Exploiting redundancy for flexible behavior: unsupervised learning in a modular sensorimotor control architecture. MV Butz, O Herbort, J Hoffmann Psychological Review 114 (4), 1015, 2007	95	2007
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001	93	2001
Tournament selection: Stable fitness pressure in XCS MV Butz, K Sastry, DE Goldberg Genetic and Evolutionary Computation Conference, 1857-1869, 2003	88	2003
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system MV Butz Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	84	2005
Latent learning and action planning in robots with anticipatory classifier systems W Stolzmann, M Butz International Workshop on Learning Classifier Systems, 301-317, 1999	84	1999
Habitual and goal-directed factors in (everyday) object handling O Herbort, MV Butz Experimental Brain Research 213 (4), 371-382, 2011	76	2011
Vehicle with computing means for monitoring and predicting traffic participant objects J Fritsch, M Butz, A Andreas US Patent 9,104,965, 2015	72	2015
Toward a unified sub-symbolic computational theory of cognition MV Butz Frontiers in psychology 7, 925, 2016	68	2016

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