Martin V. Butz
Martin V. Butz
Professor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität Tübingen
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TitleCited byYear
An algorithmic description of XCS
MV Butz, SW Wilson
Soft Computing 6 (3-4), 144-153, 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
Rule-based evolutionary online learning systems
MV Butz
Springer-Verlag, 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
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
Internal models and anticipations in adaptive learning systems
MV Butz, O Sigaud, P Gerard
Anticipatory behavior in adaptive learning systems, 86-109, 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
Anticipatory learning classifier systems
MV Butz
Springer Science & Business Media, 2002
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
Data mining in learning classifier systems: comparing XCS with GAssist
J Bacardit, MV Butz
Learning Classifier Systems, 282-290, 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
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
Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior
MV Butz, O Sigaud, G Pezzulo, G Baldassarre
Springer-Verlag Berlin Heidelberg, 2007
How XCS evolves accurate classifiers
MV Butz, T Kovacs, PL Lanzi, SW Wilson
Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001
Tournament selection: Stable fitness pressure in XCS
MV Butz, K Sastry, DE Goldberg
Genetic and Evolutionary Computation Conference, 1857-1869, 2003
Anticipatory behavior in adaptive learning systems: Foundations, Theories, and Systems
MV Butz, O Sigaud, P Gérard
Springer-Verlag Berlin Heidelberg, 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
Automated global structure extraction for effective local building block processing in XCS
MV Butz, M Pelikan, X Llorà, DE Goldberg
Evolutionary Computation 14 (3), 345-380, 2006
Habitual and goal-directed factors in (everyday) object handling
O Herbort, MV Butz
Experimental Brain Research 213 (4), 371, 2011
Rule-based Evolutionary Online Learning Systems: Learning Bound, Classification, and Prediction
M Butz
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