Development support of Nash-Q learning agent on agent framework DASH

Masato Hibino, Takahiro Uchiya, Ichi Takumi, Tetsuo Kinoshita

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

Abstract

Agent-oriented computing is a technique to run a big-scale system by cooperation among plural agents. An agent with learning ability is called a «Learning Agent». A learning agent learns past actions, and changes the movement knowledge dynamically. A learning agent can solve a complicated problem in intellectual action. However, when a user wants to use a learning agent, little support exists for the development of a learning agent in an agent framework. Therefore, we introduce the development support of learning agent into the DASH agent framework.

Original languageEnglish
Title of host publication2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages279-280
Number of pages2
ISBN (Electronic)9781479987511
DOIs
Publication statusPublished - 2016 Feb 3
Event4th IEEE Global Conference on Consumer Electronics, GCCE 2015 - Osaka, Japan
Duration: 2015 Oct 272015 Oct 30

Publication series

Name2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015

Other

Other4th IEEE Global Conference on Consumer Electronics, GCCE 2015
CountryJapan
CityOsaka
Period15/10/2715/10/30

Keywords

  • Agent
  • Agent framework
  • Learning agent
  • Nash-Q Learning

ASJC Scopus subject areas

  • Instrumentation
  • Biotechnology
  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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