Design environment of intelligent multiagent systems

Takahiro Uchiya, Syo Itazuro, Ichi Takumi, Tetsuo Kinoshita

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

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-learning, Profit Sharing and proposed design environment. Moreover we show the effectiveness of the proposal method through the some experiments.

Original languageEnglish
Title of host publication2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
Pages241-246
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata, Japan
Duration: 2013 Jun 162013 Jun 20

Publication series

Name2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings

Other

Other2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
CountryJapan
CityNiigata
Period13/6/1613/6/20

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

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