Titlebook: Agents and Data Mining Interaction; 8th International Wo Longbing Cao,Yifeng Zeng,Munindar P Singh Conference proceedings 2013 Springer-Ver

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Hugo Azcorra,Federico Dickinson been using the idea of organization control as a low overhead way of coordinating the learning of such large agent collectives. In this lecture, the results of this research will be discussed and its relationship to issues in distributed data mining.

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Hugo Azcorra,Federico Dickinsonblems, such as chess, robot soccer, poker, robot navigation, stock trading, and others. Economics and artificial intelligence share a strong focus on rational behavior. Yet the real-time demands of many domains do not lend hemselves to traditional assumptions of rationality. This is the case in many

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Conclusion: London and National Reforme on the generosity of others. Current solutions like sharing ratio enforcement and reputation systems are complex, exploitable, inaccurate or unfair at times. The need to design scalable mechanisms that incentivize cooperation is evident. We focus on BitTorrent as the most popular P2P file sharing

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The Construction of Cultural Backgroundecting and analyzing context information, executing control instruction and suggesting health plans for users. SHLAS is Multi-agent based. Each agent has three levels: the Goal Layer has business rules for representing agent goals; the Strategy Layer provides technical rules and processes for guidin

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Culture, Growth and Economic Policyually becoming an integral part of our life, they require human-like NPCs that shall exhibit believable behavior in the game-play. In this paper, we present an optimization approach to designing believable behavior models for NPCs. We quantify the notion of believability using a multi-objective func

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