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Adaptive and Learning Agents [[electronic resource] ] : AAMAS 2011 International Workshop, ALA 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers / / edited by Peter Vrancx, Matthew Knudson, Marek Grzes



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Titolo: Adaptive and Learning Agents [[electronic resource] ] : AAMAS 2011 International Workshop, ALA 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers / / edited by Peter Vrancx, Matthew Knudson, Marek Grzes Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Edizione: 1st ed. 2012.
Descrizione fisica: 1 online resource (VII, 135 p.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computer communication systems
Algorithms
Pattern recognition
Computer simulation
Computer organization
Artificial Intelligence
Computer Communication Networks
Algorithm Analysis and Problem Complexity
Pattern Recognition
Simulation and Modeling
Computer Systems Organization and Communication Networks
Persona (resp. second.): VrancxPeter
KnudsonMatthew
GrzesMarek
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and author index.
Sommario/riassunto: This volume constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Adaptive and Learning Agents, ALA 2011, held at the 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2011, in Taipei, Taiwan, in May 2011. The 7 revised full papers presented together with 1 invited talk were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on single and multi-agent reinforcement learning, supervised multiagent learning, adaptation and learning in dynamic environments, learning trust and reputation, minority games and agent coordination.
Titolo autorizzato: Adaptive and Learning Agents  Visualizza cluster
ISBN: 3-642-28499-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465962203316
Lo trovi qui: Univ. di Salerno
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Serie: Lecture Notes in Artificial Intelligence ; ; 7113