Learning, Memory, and Inertia
This paper explores the impact of memory in standard display imitation behavior, focusing on coordination games (as in Kandori et al (1993)) and N-player games where spiteful behavior allows to discard Nash equilibria. It is shown that the way interea is modeled in such examples actually entails a strong "no-memory" assumption. Once inertia is removed (or medeled otherwise), the addition of bounded memory changes the predictions dramatically. The analysis highlights the stability properties of Nash outcomes in purely evolutionary contexts with a finite population of agents.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Fernando Vega-Redondo, 1997.
"The Evolution of Walrasian Behavior,"
Econometric Society, vol. 65(2), pages 375-384, March.
- Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
- Robson, Arthur J. & Vega-Redondo, Fernando, 1996.
"Efficient Equilibrium Selection in Evolutionary Games with Random Matching,"
Journal of Economic Theory,
Elsevier, vol. 70(1), pages 65-92, July.
- Arthur J Robson & Fernando Vega-Redondo, 1999. "Efficient Equilibrium Selection in Evolutionary Games with Random Matching," Levine's Working Paper Archive 2112, David K. Levine.
- Rhode, Paul & Stegeman, Mark, 1996. "Learning, Mutation, and Long-Run Equilibria in Games: A Comment," Econometrica, Econometric Society, vol. 64(2), pages 443-49, March.
When requesting a correction, please mention this item's handle: RePEc:vie:viennp:0003. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Paper Administrator)
If references are entirely missing, you can add them using this form.