行動ルールが変化する人工社会の進化的設計手法

• 烏 云

  筑波大学システム情報工学研究科

• 狩野 均

  筑波大学システム情報工学研究科コンピュータサイエンス専攻

書誌事項

タイトル別名

• Evolutionary Design of Rule Changing Artificial Society Using Genetic Algorithms
• コウドウ ルール ガ ヘンカ スル ジンコウ シャカイ ノ シンカテキ セッケイ シュホウ

抄録

Socioeconomic phenomena, cultural progress and political organization have recently been studied by creating artificial societies consisting of simulated agents. In this paper we propose a new method to design action rules of agents in artificial society that can realize given requests using genetic algorithms (GAs). <br> In this paper we propose an efficient method for designing the action rules of agents that will constitute an artificial society that meets a specified demand by using a GAs. In the proposed method, each chromosome in the GA population represents a candidate set of action rules and the number of rule iterations. While a conventional method applies distinct rules in order of precedence, the present method applies a set of rules repeatedly for a certain period. The present method is aiming at both firm evolution of agent population and continuous action by that. Experimental results using the artificial society proved that the present method can generate artificial society which fills a demand in high probability.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 20 318-325, 2005

  一般社団法人 人工知能学会

キーワード

• genetic algorithms
• artificial society
• agents
• action rules
• design

詳細情報

• CRID: 1390001205106536832
• NII論文ID: 10022005445
• NII書誌ID: AA11579226
• DOI: 10.1527/tjsai.20.318
• ISSN: 13468030
• ISSN: 13460714
• HANDLE: 2241/00132010
• NDL書誌ID: 8685294
• Web Site: https://tsukuba.repo.nii.ac.jp/records/36451
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8685294
• Web Site: http://www.jstage.jst.go.jp/article/tjsai/20/5/20_5_318/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • IRDB
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可