Design support mechanism of learning agent on repository-based agent framework

Syo Itazuro, Takahiro Uchiya, Ichi Takumi, Tetsuo Kinoshita

研究成果: Conference contribution

抄録

Agent-oriented computing is a technique for generating an agent that operates autonomously according to behavior knowledge. Moreover, an agent can have a characteristic called "Learning" skill. More efficient operation of an agent can be expected by realizing "Learning" skill. In this research, our aim is to support an agent designer who designs and develops an agent equipped with "Learning" skill. We propose a design support mechanism of a learning agent on a repository-based agent framework called the DASH framework. The proposed mechanism enables an agent designer to design and implement the learning agent without great expertise, thereby reducing the designer's burden. Herein, we explain the DASH framework, Q-Learning, and the proposed design support mechanism. Moreover, we demonstrate the effectiveness of the proposed method using some experiments.

本文言語English
ホスト出版物のタイトルProceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012
ページ300-304
ページ数5
DOI
出版ステータスPublished - 2012 11 15
イベント11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012 - Kyoto, Japan
継続期間: 2012 8 222012 8 24

出版物シリーズ

名前Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012

Other

Other11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2012
国/地域Japan
CityKyoto
Period12/8/2212/8/24

ASJC Scopus subject areas

  • 人工知能
  • 情報システム

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