Coevolutionary Approach for Strategic Decision Support
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Authors
Johnson, Rodney W.
Melich, Michael E.
Michalewicz, Zbigniew
Schmidt, Martin
Wagner, Neal
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Date of Issue
2004-12
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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.
Type
Conference Paper
Description
Proceedings of the 7th Asia-Pacific, Conference on Complex Systems, Cairns Convention Centre, Cairns, Australia, 6-10th December 2004
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Department
Systems Engineering
Organization
Wayne E. Meyer Institute of Systems Engineering
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Sponsors
This work was initially supported by Dr. William Mularie of DARPA/ISO and subsequently by the Office of the Secretary of Defense.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.