Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/40117
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Type: Conference paper
Title: Coevolutionary processes for strategic decisions
Author: Johnson, R.
Melich, M.
Michalewicz, Z.
Schmidt, M.
Citation: Monitoring, security, and rescue techniques in multiagent systems / Barbara Dunin-Keplicz (ed.) : pp. 85-98
Publisher: Springer
Issue Date: 2005
ISBN: 3540232451
Conference Name: MSRAS 2004 (2004 : Płock, Poland)
Statement of
Responsibility: 
Rodney W. Johnson, Michael E. Melich, Zbigniew Michalewicz and Martin Schmidt
Abstract: We present a description and initial results of a computer code that coevolves Fuzzy Logic rules to play a two-sided zero-sum competitive game. It is based on the TEMPO Military Planning Game that has been used to teach resource allocation to over 20,000 students over the past 40 years. No feasible algorithm for optimal play is known. The coevolved rules, when pitted against human players, usually win the first few competitions. For reasons not yet understood, the evolved rules (found in a symmetrical competition) place no value on information concerning the play of the opponent.
Description: The original publication is available at www.springerlink.com
DOI: 10.1007/3-540-32370-8_6
Published version: http://www.springerlink.com/content/y0123382p5751663/
Appears in Collections:Aurora harvest 6
Computer Science publications

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