Interaction of intelligent agents in prisoner's dilemma죄수의 딜레마 게임에서 지능형 에이전트의 상호작용

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dc.contributor.advisorLee, Soo-Young-
dc.contributor.advisor이수영-
dc.contributor.authorCho, Min-Hyung-
dc.contributor.author조민형-
dc.date.accessioned2011-12-12T07:28:44Z-
dc.date.available2011-12-12T07:28:44Z-
dc.date.issued2007-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=264228&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/27139-
dc.description학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2007.2, [ vii, 53 p. ]-
dc.description.abstractA model of an intelligent agent based on recurrent neural network is presented and assessed in prisoner``s dilemma game. This method is superior than classical reinforcement learning especially for the ability of searching continuous action and continuous state space. Through experiments, we show that the agent has good adaptation ability to fixed strategies. In the both learning case, it is not guaranteed that they find optimal solution. To overcome this problem, we introduce personality to each agent. This is an attempt to build an agent retaining high adaptation capability to various environment by imitating the inherent property in human. Through evolutionary simulation, we show that the community of agents with personality evolves to bring social prosperity. In addition, the extension to a model of a stockmarket is presented in which independent adaptive agents can buy and sell stock on a central market.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectmultiagent systems-
dc.subjectprisoner`s dilemma-
dc.subjectintelligent agent-
dc.subjectrecurrent neural network-
dc.subject회귀 신경 회로망-
dc.subject멀티에이전트 시스템-
dc.subject죄수의 딜레마-
dc.subject지능형 에이전트-
dc.titleInteraction of intelligent agents in prisoner's dilemma-
dc.title.alternative죄수의 딜레마 게임에서 지능형 에이전트의 상호작용-
dc.typeThesis(Master)-
dc.identifier.CNRN264228/325007 -
dc.description.department한국과학기술원 : 바이오시스템학과, -
dc.identifier.uid020053574-
dc.contributor.localauthorLee, Soo-Young-
dc.contributor.localauthor이수영-
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BiS-Theses_Master(석사논문)
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