Multi-Agent Modeling Using Intelligent Agents in the Game of Lerpa

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dc.creatorHurwitz, Evan
dc.creatorMarwala, Tshilidzi
dc.date2007-06-02
dc.date.accessioned2026-07-07T08:03:57Z
dc.date.available2026-07-07T08:03:57Z
dc.descriptionGame theory has many limitations implicit in its application. By utilizing multiagent modeling, it is possible to solve a number of problems that are unsolvable using traditional game theory. In this paper reinforcement learning is applied to neural networks to create intelligent agents
dc.description32 pages
dc.identifierhttps://arxiv.org/abs/0706.0280
dc.identifierhttp://arxiv.org/abs/0706.0280
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/129769
dc.subjectMultiagent Systems
dc.subjectComputer Science and Game Theory
dc.titleMulti-Agent Modeling Using Intelligent Agents in the Game of Lerpa
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