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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/40117
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dc.contributor.authorJohnson, R.en
dc.contributor.authorMelich, M.en
dc.contributor.authorMichalewicz, Z.en
dc.contributor.authorSchmidt, M.en
dc.date.issued2005en
dc.identifier.citationMonitoring, security, and rescue techniques in multiagent systems / Barbara Dunin-Keplicz (ed.) : pp. 85-98en
dc.identifier.isbn3540232451en
dc.identifier.urihttp://hdl.handle.net/2440/40117-
dc.descriptionThe original publication is available at www.springerlink.comen
dc.description.abstractWe 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.en
dc.description.statementofresponsibilityRodney W. Johnson, Michael E. Melich, Zbigniew Michalewicz and Martin Schmidten
dc.language.isoenen
dc.publisherSpringeren
dc.source.urihttp://www.springerlink.com/content/y0123382p5751663/en
dc.titleCoevolutionary processes for strategic decisionsen
dc.typeConference paperen
dc.contributor.conferenceMSRAS 2004 (2004 : Płock, Poland)en
dc.identifier.doi10.1007/3-540-32370-8_6en
pubs.publication-statusPublisheden
Appears in Collections:Aurora harvest 6
Computer Science publications

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