IDEAL: Interactive design environment for agent system with learning mechanism

Takahiro Uchiyal, Syo Itazurol, Ichi Takumil, Tetsuo Kinoshita

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The agent-oriented computing is a technique for generating the agent who operates autonomously according to the behavior knowledge. Moreover, agent can have the characteristic called "Learning" skill. More efficient operation of agents can be expected by realizing "Learning" skill In this research, our aim is to support agent designer who designs and develops the intelligent agent system equipped with "Learning" skill. We propose interactive design environment for agent system with learning mechanism using repository-based agent framework called DASH framework. Proposed framework enables agent designer to design and implement the learning agents without highly expertise, therefore we can reduce the designer's burden. In this paper, we explain the DASH framework, Q-Iearning, Profit Sharing and proposed design environment. Moreover we show the effectiveness of the proposal method through the some experiments.

本文言語English
ホスト出版物のタイトルProceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
ページ153-160
ページ数8
DOI
出版ステータスPublished - 2013
イベント12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013 - New York, NY, United States
継続期間: 2013 7月 162013 7月 18

出版物シリーズ

名前Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013

Other

Other12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
国/地域United States
CityNew York, NY
Period13/7/1613/7/18

ASJC Scopus subject areas

  • 情報システム
  • ソフトウェア

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