IDEAL: Interactive design environment for agent system with learning mechanism

Takahiro Uchiyal, Syo Itazurol, Ichi Takumil, Tetsuo Kinoshita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013
Pages153-160
Number of pages8
DOIs
Publication statusPublished - 2013 Dec 9
Event12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2013 - New York, NY, United States
Duration: 2013 Jul 162013 Jul 18

Publication series

NameProceedings 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
CountryUnited States
CityNew York, NY
Period13/7/1613/7/18

ASJC Scopus subject areas

  • Information Systems
  • Software

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