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.
Contributor(s): Vrancx, Peter [editor.]
| Knudson, Matthew [editor.] | Grzes, Marek [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 7113Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: VII, 135 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642284991.Subject(s): Artificial intelligence | Computer networks | Algorithms | Pattern recognition systems | Computer simulation | Computer engineering | Artificial Intelligence | Computer Communication Networks | Algorithms | Automated Pattern Recognition | Computer Modelling | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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.
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