完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Wu, HC | en_US |
dc.contributor.author | Sun, CT | en_US |
dc.date.accessioned | 2014-12-08T15:39:03Z | - |
dc.date.available | 2014-12-08T15:39:03Z | - |
dc.date.issued | 2004-06-01 | en_US |
dc.identifier.issn | 1083-4419 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/TSMCB.2004.823330 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/26714 | - |
dc.description.abstract | Azuaje 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.iso | en_US | en_US |
dc.subject | artificial life | en_US |
dc.subject | evolutionary computation | en_US |
dc.subject | genetic algorithm | en_US |
dc.subject | prisoner's dilemma | en_US |
dc.title | Comments on "A computational evolutionary approach to evolving game strategies and cooperation" | en_US |
dc.type | Editorial Material | en_US |
dc.identifier.doi | 10.1109/TSMCB.2004.823330 | en_US |
dc.identifier.journal | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | en_US |
dc.citation.volume | 34 | en_US |
dc.citation.issue | 3 | en_US |
dc.citation.spage | 1569 | en_US |
dc.citation.epage | 1572 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000221578100021 | - |
dc.citation.woscount | 1 | - |
顯示於類別: | 期刊論文 |