Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/36930
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Type: Conference paper
Title: Coevolutionary TEMPO game
Author: Johnson, R.
Melich, M.
Michalewicz, Z.
Schmidt, M.
Citation: Proceedings of the 2004 Congress on Evolutionary Computation : CEC 2004, June 19-23, 2004, Portland, OR, USA / pp. 1610-1617
Publisher: IEEE Systems Control Society
Publisher Place: Online
Issue Date: 2004
ISBN: 0780385152
Conference Name: Congress on Evolutionary Computation (2004 : Portland, Oregon)
Statement of
Responsibility: 
Johnson, R.W. ; Melich, M.E. ; Michalewicz, Z. ; Schmidt, M.
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 little value on information concerning the play of the opponent but rather focus on exploiting the available weapon systems.
Description: © Copyright 2004 IEEE
DOI: 10.1109/CEC.2004.1331088
Published version: http://dx.doi.org/10.1109/cec.2004.1331088
Appears in Collections:Aurora harvest 6
Computer Science publications

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