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Martin V. Butz
Martin V. Butz
Professor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität Tübingen
Email verificata su uni-tuebingen.de - Home page
Titolo
Citata da
Citata da
Anno
An algorithmic description of XCS
MV Butz, SW Wilson
Soft Computing 6, 144-153, 2002
7062002
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
2842004
Rule-based evolutionary online learning systems
MV Butz
Springer-Verlag, 2006
2362006
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
1372008
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
1322003
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
1292010
Anticipatory learning classifier systems
MV Butz
Springer Science & Business Media, 2002
1292002
Anticipatory behavior in adaptive learning systems: Foundations, Theories, and Systems
MV Butz, O Sigaud, P Gérard
Springer-Verlag Berlin Heidelberg, 2003
1282003
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
1262003
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
1252022
Internal models and anticipations in adaptive learning systems
MV Butz, O Sigaud, P Gerard
Anticipatory behavior in adaptive learning systems: Foundations, theories …, 2003
1232003
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
1122005
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
1092017
How XCS evolves accurate classifiers
MV Butz, T Kovacs, PL Lanzi, SW Wilson
Proceedings of the Third Genetic and Evolutionary Computation Conference …, 2001
1062001
Data mining in learning classifier systems: comparing XCS with GAssist
J Bacardit, MV Butz
International Workshop on Learning Classifier Systems, 282-290, 2003
1042003
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
1022007
Tournament selection: Stable fitness pressure in XCS
MV Butz, K Sastry, DE Goldberg
Genetic and Evolutionary Computation Conference, 1857-1869, 2003
982003
Vehicle with computing means for monitoring and predicting traffic participant objects
J Fritsch, M Butz, A Andreas
US Patent 9,104,965, 2015
912015
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system
MV Butz
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
902005
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
882022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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