Conflict estimation of abstract plans for multiagent systems

Toshiharu Sugawara*, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Toshihiro Takada

*この研究の対応する著者

研究成果: Conference contribution

抄録

In hierarchical planning, selecting a plan at an abstract level affects planning performance because an abstract plan restricts the scope of primitive plans. However, if all primitive plans under the selected abstract plan have difficult-to-resolve conflicts with the plans of other agents, the final plan after conflict resolution will be inefficient or of low quality. In this paper, we propose a conflict estimation method to generate quality plans efficiently for multiagent systems by appropriately selecting abstract plans in hierarchical planning. This method enables agents to learn which abstract plans are less likely to cause conflicts or which conflicts will be easy to resolve.

本文言語English
ホスト出版物のタイトルAAMAS'07 - Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems
ページ849-851
ページ数3
DOI
出版ステータスPublished - 2007 12 1
イベント6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07 - Honolulu, HI, United States
継続期間: 2008 5 142008 5 18

出版物シリーズ

名前Proceedings of the International Conference on Autonomous Agents

Conference

Conference6th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS'07
国/地域United States
CityHonolulu, HI
Period08/5/1408/5/18

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 理論的コンピュータサイエンス

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