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dc.contributor.authorAvery, P.en
dc.contributor.authorMichalewicz, Z.en
dc.identifier.citationProceedings of IEEE Congress on Evolutionary Computation, 25-28 September 2007:pp.4035-4042en
dc.descriptionCopyright © 2007 IEEEen
dc.description.abstractThe usage of memory in coevolutionary systems offers a wide range of research possibilities, especially when evolving computationally intelligent computer players for games. The research discussed here continues from previous work done to include memory with coevolution for the game of TEMPO. The strategy of inserting a simple human derived rule base to kick start the evolutionary process with memory is investigated further, with tests done on the effectiveness of the expert as a participant in the evolutionary process. There is also further research presented on reproducing the human long term memory mechanism in the coevolutionary process, with a process used to mimic the way humans recall information relevant to the current scenario. This creates a memory that changes as the environmental situation changes, and results in a dynamic opposition to coevolve against.en
dc.description.statementofresponsibilityAvery, P.M.: Michalewicz, Z.en
dc.titleStatic experts and dynamic enemies in coevolutionary gamesen
dc.typeConference paperen
dc.contributor.conferenceIEEE Congress on Evolutionary Computation (2007 : Singapore)en
pubs.library.collectionComputer Science publicationsen
Appears in Collections:Computer Science publications

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