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ID 14829
Eprint ID
14829
フルテキストURL
著者
西村 徳栄 Graduate School of Natural Science and Technology, Okayama University
半田 久志 Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
抄録
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent behaviors. In this paper, we propose a new Estimation of Distribution Algorithms (EDAs) which can acquire effective rules for cognitive agents. Basic calculation procedure of the EDAs is that 1) select better individuals, 2) estimate probabilistic models, and 3) sample new individuals. In the proposed method, instead of the use of individuals, input-output records in episodes are directory used for estimating the probabilistic model by Conditional Random Fields. Therefore, estimated probabilistic model can be regarded as policy so that new input-output records are generated by the interaction between the policy and environments. Computer simulations on Probabilistic Transition Problems show the effectiveness of the proposed method.
発行日
2008-12-11
出版物タイトル
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
2008巻
1号
出版者
IEEE SMC Hiroshima Chapter
開始ページ
185
終了ページ
190
ISSN
1883-3977
資料タイプ
会議発表論文
言語
English
イベント
Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
イベント地
東広島市
イベント地の別言語
Higashi-Hiroshima City
論文のバージョン
publisher
査読
有り
Eprints Journal Name
IWCIA