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
Sebastian OtteInstitute for Robotics and Cognitive SystemsVerified email at uni-luebeck.de
Pier Luca LanziPolitecnico di MilanoVerified email at polimi.it
Olivier SigaudProfessor in Computer Science, 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
Anna BelardinelliPrincipal Scientist, Honda Research Institute EuropeVerified email at honda-ri.de
Joachim HoffmannProfessor für Kognitive PsychologieVerified email at psychologie.uni-wuerzburg.de
Xavier LloraGoogle IncVerified email at google.com
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, Italian National ResearchVerified email at istc.cnr.it
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityVerified email at newcastle.ac.uk
Asya AchimovaPostdoc, University of TübingenVerified email at uni-tuebingen.de
Andrea KieselUniversity of FreiburgVerified email at psychologie.uni-freiburg.de
David BilkeyProfessor of Psychology, University of OtagoVerified email at otago.ac.nz
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
Matthias KarlbauerPhD student, Eberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Christian PlewniaProfessor for Psychiatry and Psychotherapy, University of Tübingen, GermanyVerified email at uni-tuebingen.de
Jan DrugowitschAssociate Professor, Harvard Medical SchoolVerified email at hms.harvard.edu

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 Modeling Bayesian Inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An algorithmic description of XCS MV Butz, SW Wilson Soft Computing 6, 144-153, 2002	695	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	284	2004
Rule-based evolutionary online learning systems MV Butz Springer-Verlag, 2006	230	2006
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	134	2008
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	129	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	128	2010
Anticipatory behavior in adaptive learning systems: Foundations, Theories, and Systems MV Butz, O Sigaud, P Gérard Springer-Verlag Berlin Heidelberg, 2003	128	2003
Anticipatory learning classifier systems MV Butz Springer Science & Business Media, 2002	127	2002
Internal models and anticipations in adaptive learning systems MV Butz, O Sigaud, P Gerard Anticipatory behavior in adaptive learning systems: Foundations, theories …, 2003	120	2003
Anticipatory behavior: Exploiting knowledge about the future to improve current behavior MV Butz, O Sigaud, P Gérard Anticipatory behavior in adaptive learning systems: Foundations, theories …, 2003	116	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	110	2005
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, MV Butz International Workshop on Learning Classifier Systems, 282-290, 2003	108	2003
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001	104	2001
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	101	2007
Tournament selection: Stable fitness pressure in XCS MV Butz, K Sastry, DE Goldberg Genetic and Evolutionary Computation Conference, 1857-1869, 2003	94	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	89	2005
Training computational thinking: Game-based unplugged and plugged-in activities in primary school K Tsarava, K Moeller, N Pinkwart, M Butz, U Trautwein, M Ninaus European conference on games based learning, 687-695, 2017	83	2017
Habitual and goal-directed factors in (everyday) object handling O Herbort, MV Butz Experimental Brain Research 213, 371-382, 2011	82	2011
Toward a unified sub-symbolic computational theory of cognition MV Butz Frontiers in psychology 7, 925, 2016	81	2016
Vehicle with computing means for monitoring and predicting traffic participant objects J Fritsch, M Butz, A Andreas US Patent 9,104,965, 2015	81	2015

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