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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.

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 an information concerning the play of the opponent but rather focus on exploiting the available weapon systems. ; This work was initially supported by Dr. William Mularie of DARPNISO and subsequently by the Office of the Secretary of Defense.

Proceedings of the 7th Asia-Pacific, Conference on Complex Systems, Cairns Convention Centre, Cairns, Australia, 6-10th December 2004 ; 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. ; This work was initially supported by Dr. William Mularie of DARPA/ISO and subsequently by the Office of the Secretary of Defense.