Agent Computing and Multi-Agent Systems: 10th Pacific Rim by Ka-man Lam, Ho-Fung Leung (auth.), Aditya Ghose, Guido

By Ka-man Lam, Ho-Fung Leung (auth.), Aditya Ghose, Guido Governatori, Ramakoti Sadananda (eds.)

This booklet constitutes the completely refereed post-workshop complaints of the tenth Pacific Rim overseas Workshop on Multi-Agents, PRIMA 2007, held in Bankok, Thailand, in November 2007.

The 22 revised complete papers and sixteen revised brief papers offered including eleven software papers have been rigorously reviewed and chosen from 102 submissions. starting from theoretical and methodological concerns to numerous functions in several fields, the papers deal with many present matters in multi-agent learn and development,

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Extra resources for Agent Computing and Multi-Agent Systems: 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Bangkok, Thailand, November 21-23, 2007. Revised Papers

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A message must pass through some medium inside the environment to reach the destined receiver agent. The receiving agent, upon the delivery of a message, must first separate the message from the medium in which it is transported. After this, the message must have all ambiguity removed, preferably using the context the message was sent in. Should the receptor agent successfully receive a message that has more than one possible meaning, the best context that can be applied must be used. Rather than have agents calculate what the context of a message should be, some contextual evidence may be provided on behalf of the sender.

Communication decisions in Multiagent cooperation. In: Proceedings of the Fifth International Conference on Autonomous Agents, pp. 616–623 (2001) 5. : Optimizing information exchange in cooperative multi-agent systems. In: Proceedings of the Second International Joint Conference on Agents and Multiagent Systems (AAMAS 2003), pp. 137–144 (2003) 6. : Role allocation and reallocation in multiagent teams: Towards a practical analysis. In: Proceedings of the Second International Joint Conference on Agents and Multiagent Systems (AAMAS 2003), pp.

JointReward( π1 , π2t ) ≥ JointReward( π1 , π2t ) JointReward( 1 π1t , π2 ) ≥ JointReward( π1t , π2 ) (3) (4) The definition of a trembling hand perfect equilibrium used in the game theory literature is quite complicated and there exist several alternative definitions [11]. Here, we use a rather simplified definition that matches our model. Multiagent Planning with Trembling-Hand Perfect Equilibrium 19 Table 4. Policy of agents i and j with finite horizon T = 2 t=0 t=1 observation action observation action (n/a) (Listen, Listen) HL (OpenRight, OpenRight) HR (OpenLef t, OpenLef t) Reset (OpenLef t, OpenRight) As long as is small enough, if (3) and (4) are satisfied, the following conditions also hold.

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