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|Title: ||An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems|
|Authors: ||TUYLS, Karl|
|Issue Date: ||2004|
|Citation: ||Synthese, 139(2). p. 297-330|
|Abstract: ||In this paper we revise Reinforcement Learning andadaptiveness in Multi-Agent Systems from an EvolutionaryGame Theoretic perspective. More precisely we show thereis a triangular relation between the fields of Multi-AgentSystems, Reinforcement Learning and Evolutionary Game Theory.We illustrate how these new insights can contribute to a betterunderstanding of learning in MAS and to new improved learningalgorithms. All three fields are introduced in a self- containedmanner. Each relation is discussed in detail with thenecessary background information to understand it, alongwith major references to relevant work|
|ISI #: ||000220957200006|
|Type: ||Journal Contribution|
|Appears in Collections: ||Research publications|
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