Martin V. Butz

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David E. GoldbergFounder & President, ThreeJoy Associates, Inc. & Professor Emeritus, UIUCEmail confirmado em threejoy.com
Sebastian OtteInstitute for Robotics and Cognitive SystemsEmail confirmado em uni-luebeck.de
Oliver HerbortJulius-Maximilians-Universität WürzburgEmail confirmado em psychologie.uni-wuerzburg.de
Pier Luca LanziPolitecnico di MilanoEmail confirmado em polimi.it
Olivier SigaudProfessor in Computer Science, Sorbonne UniversitéEmail confirmado em upmc.fr
Giovanni PezzuloNational Research Council of Italy, RomeEmail confirmado em istc.cnr.it
Anna BelardinelliPrincipal Scientist, Honda Research Institute EuropeEmail confirmado em honda-ri.de
Joachim HoffmannProfessor für Kognitive PsychologieEmail confirmado em psychologie.uni-wuerzburg.de
Martin PelikanResearcher, AppleEmail confirmado em martinpelikan.net
Xavier LloraGoogle IncEmail confirmado em google.com
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, National Research CouncilEmail confirmado em istc.cnr.it
Asya AchimovaPostdoc, University of TübingenEmail confirmado em uni-tuebingen.de
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityEmail confirmado em newcastle.ac.uk
David BilkeyProfessor of Psychology, University of OtagoEmail confirmado em otago.ac.nz
Christian PlewniaProfessor for Psychiatry and Psychotherapy, University of Tübingen, GermanyEmail confirmado em uni-tuebingen.de
Matthias KarlbauerPhD student, Eberhard Karls Universität TübingenEmail confirmado em uni-tuebingen.de
Andrea KieselUniversity of Freiburg, Department of PsychologyEmail confirmado em psychologie.uni-freiburg.de
Wilfried KundeProfessor of Psychology, University of WuerzburgEmail confirmado em psychologie.uni-wuerzburg.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingEmail confirmado em uni-ulm.de
Philipp Alexander SchroederExperimental Clinical Psychology, Department of Psychology, University of TübingenEmail confirmado em uni-tuebingen.de

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Martin V. Butz

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

Email confirmado em uni-tuebingen.de - Página inicial

Cognitive Science Machine Learning Cognitive Modeling Bayesian Inference


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
An algorithmic description of XCS MV Butz, SW Wilson Soft Computing 6, 144-153, 2002	706	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	286	2004
Rule-based evolutionary online learning systems MV Butz Springer-Verlag, 2006	237	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	138	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	131	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	130	2010
A cognitive definition of computational thinking in primary education K Tsarava, K Moeller, M Román-González, J Golle, L Leifheit, MV Butz, ... Computers & Education 179, 104425, 2022	128	2022
Anticipatory behavior in adaptive learning systems: Foundations, Theories, and Systems MV Butz, O Sigaud, P Gérard Springer-Verlag Berlin Heidelberg, 2003	127	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	127	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	123	2003
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	119	2017
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	112	2005
How XCS evolves accurate classifiers MV Butz, T Kovacs, PL Lanzi, SW Wilson Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001	107	2001
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, MV Butz International Workshop on Learning Classifier Systems, 282-290, 2003	105	2003
Tournament selection: Stable fitness pressure in XCS MV Butz, K Sastry, DE Goldberg Genetic and Evolutionary Computation Conference, 1857-1869, 2003	100	2003
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	98	2007
Intelligent problem-solving as integrated hierarchical reinforcement learning M Eppe, C Gumbsch, M Kerzel, PDH Nguyen, MV Butz, S Wermter Nature Machine Intelligence 4 (1), 11-20, 2022	97	2022
Vehicle with computing means for monitoring and predicting traffic participant objects J Fritsch, M Butz, A Andreas US Patent 9,104,965, 2015	96	2015
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system MV Butz Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	93	2005

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