David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 139 (2):297 - 330 (2004)
In this paper we revise Reinforcement Learning and adaptiveness in Multi-Agent Systems from an Evolutionary Game Theoretic perspective. More precisely we show there is a triangular relation between the fields of Multi-Agent Systems, Reinforcement Learning and Evolutionary Game Theory. We illustrate how these new insights can contribute to a better understanding of learning in MAS and to new improved learning algorithms. All three fields are introduced in a self-contained manner. Each relation is discussed in detail with the necessary background information to understand it, along with major references to relevant work.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Gregorio Rivera (2003). An Evolutionary Learning Community Network: How Evolutionary Artscience Emerges Through Evolutionary Systems Design. World Futures 59 (8):577 – 584.
Roland Mühlenbernd (2011). Learning with Neighbours. Synthese 183 (S1):87-109.
Simon M. Huttegger & Brian Skyrms (2008). Emergence of Information Transfer by Inductive Learning. Studia Logica 89 (2):237 - 256.
Pierre Barbaroux & Gilles Enée (2005). Spontaneous Coordination and Evolutionary Learning Processes in an Agent-Based Model. Mind and Society 4 (2):179-195.
Ron Sun (2001). Cognitive Science Meets Multi-Agent Systems: A Prolegomenon. Philosophical Psychology 14 (1):5 – 28.
J. McKenzie Alexander (2003). Random Boolean Networks and Evolutionary Game Theory. Philosophy of Science 70 (5):1289-1304.
Added to index2009-01-28
Total downloads7 ( #188,016 of 1,102,744 )
Recent downloads (6 months)2 ( #182,643 of 1,102,744 )
How can I increase my downloads?