Journal article
Flexible Learning of Optimal Strategies
IFAC Proceedings Volumes, v 34(20), pp 413-418
Sep 2001
Abstract
This paper presents an agent-based computer simulation of equilibrium in some games that do not have dominant strategy equilibria. The agents learn optimal strategies via a flexible learning algorithm somewhat based on simulated annealing. As in the dominant-strategy cases, agents adapt flexibly but imperfectly to changing population learning, partly through fluctuations in the resist.
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Details
- Title
- Flexible Learning of Optimal Strategies
- Creators
- Roger A. McCain - Drexel University
- Publication Details
- IFAC Proceedings Volumes, v 34(20), pp 413-418
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics)
- Other Identifier
- 991021807112004721