Simultaneous Evolution of Learning Rules and Strategies

Oliver Kirchkamp

No 98-46, Sonderforschungsbereich 504 Publications from Sonderforschungsbereich 504, Universität Mannheim, Sonderforschungsbereich 504, University of Mannheim

Abstract: We study a model of local evolution. Agents are located on a network and interact strategically with their neighbours. Strategies are chosen with the help of learning rules that are based on the success of strategies observed in the neighbourhood. The standard literature on local evolution assumes learning rules to be exogenous and fixed. In this paper we consider a specific evolutionary dynamics that determines learning rules endogenously. We find with the help of simulations that in the long run learning rules behave rather deterministically but are asymmetric in the sense that while learning they put more weight on the learning players' experience than on the observed players' one. Nevertheless stage game behaviour under these learning rules is similar to behaviour with symmetric learning rules.

Pages: 34 pages
Date: 1996-06-15
New Economics Papers: this item is included in nep-cmp, nep-evo and nep-mic
Note: I am grateful for financial support from the Deutsche Forschungsgemeinschaft through SFB 303 and SFB 504. Parts of this paper were written at the European University Institute (EUI), Florence. I am very grateful for the hospitality and the support that I received from the EUI. I thank Georg N\
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Related works:
Journal Article: Simultaneous evolution of learning rules and strategies (1999)
Working Paper: Simultaneous evolution of learning rules and strategies (1998)
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