Download Learning and Adaption in Multi-Agent Systems: First by Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen PDF

By Karl Tuyls, Pieter Jan 't Hoen, Katja Verbeeck, Sandip Sen

ISBN-10: 3540330534

ISBN-13: 9783540330530

This ebook constitutes the completely refereed post-proceedings of the 1st foreign Workshop on studying and Adaption in Multi-Agent platforms, LAMAS 2005, held in Utrecht, The Netherlands, in July 2005, as an linked occasion of AAMAS 2005.

The thirteen revised papers provided including invited talks have been rigorously reviewed and chosen from the lectures given on the workshop. The papers bring up wisdom and curiosity in adaptive agent learn, motivate collaboration among computer studying specialists and agent process specialists, and provides a consultant evaluation of present study within the sector of adaptive agents.

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Additional info for Learning and Adaption in Multi-Agent Systems: First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected

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Reinforcement Learning: An introduction. Cambridge, MA: MIT Press, 1998. [164] P. ’t Hoen and J. La Poutr´e. A decommitment strategy in a competitive multiagent transportation setting. In Agent Mediated Electronic Commerce V (AMECV), Springer Lecture Notes in Artificial Intelligence (LNAI), 3048, pages 56–72, 2004. [165] P. ‘t Hoen and J. La Poutr´e. Repeated auctions with complementarities. In Proceedings of the 7th International Workshop on Agent-Mediated Electronic Commerce (AMEC VII), Springer Lecture Note in Artificial Intelligence, 2006.

12] B. Banerjee and J. Peng. Convergence of no-regret learning in multiagent systems. In LAMAS, 2005. [13] A. Barto and S. Mahadevan. Recent advances in hierarchical reinforcement learning. Discrete-Event Systems journal, 13:41–77, 2003. [14] A. L. C. Bazzan, M. Fehler, and F. Klugl. Learning to coordinate in a network of social drivers: the role of information. In LAMAS, 2005. [15] H. Berenji and D. Vengerov. Advantages of cooperation between reinforcement learning agents in difficult stochastic problems.

R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 150–156, Stanford University, CA, USA, 28–31 1996. MIT Press. [99] X. Luo, N. R. Jennings, and N. Shadbolt. Acquiring tradeoff preferences for automated negotiations: A case study. In proceedings of the 5th International Workshop on Agent-Mediated Electronic Commerce (AMEC V), pages 37–55, 2003. [100] X. Luo, N. R. Jennings, N. Shadbolt, H. Leung, and J. H. Lee.

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