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dc.contributor.authorWu, HCen_US
dc.contributor.authorSun, CTen_US
dc.date.accessioned2014-12-08T15:39:03Z-
dc.date.available2014-12-08T15:39:03Z-
dc.date.issued2004-06-01en_US
dc.identifier.issn1083-4419en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TSMCB.2004.823330en_US
dc.identifier.urihttp://hdl.handle.net/11536/26714-
dc.description.abstractAzuaje offers an approach to the co-evolution of competing virtual creatures and a model for the evolution of game strategies and their emerging behaviors [1]. This model can be greatly simplified and optimal solutions can be obtained more quickly and easily by using an analytical approach. We emphasize the importance of performing a model analysis before choosing an evolutionary or analytical approach to a problem. Furthermore, Azuaje's model is derived from the Prisoner's Dilemma, a classical model in game theory; some results have already been discussed in the literature. We discuss his model from the perspective of game theorists.en_US
dc.language.isoen_USen_US
dc.subjectartificial lifeen_US
dc.subjectevolutionary computationen_US
dc.subjectgenetic algorithmen_US
dc.subjectprisoner's dilemmaen_US
dc.titleComments on "A computational evolutionary approach to evolving game strategies and cooperation"en_US
dc.typeEditorial Materialen_US
dc.identifier.doi10.1109/TSMCB.2004.823330en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICSen_US
dc.citation.volume34en_US
dc.citation.issue3en_US
dc.citation.spage1569en_US
dc.citation.epage1572en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000221578100021-
dc.citation.woscount1-
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