Development tool of Q-nash learning agent for intelligent system

Masato Hibino, Takahiro Uchiya, Ichi Takumi, Tetsuo Kinoshita

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

2 Citations (Scopus)

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 publicationProceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015
EditorsLeonard Barolli, Makoto Takizawa, Fatos Xhafa, Hui-Huang Hsu, Tomoya Enokido
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages581-585
Number of pages5
ISBN (Electronic)9781479999422
DOIs
Publication statusPublished - 2015 Dec 9
Event18th International Conference on Network-Based Information Systems, NBiS 2015 - Taipei, Taiwan, Province of China
Duration: 2015 Sep 22015 Sep 4

Publication series

NameProceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015

Other

Other18th International Conference on Network-Based Information Systems, NBiS 2015
CountryTaiwan, Province of China
CityTaipei
Period15/9/215/9/4

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Fingerprint Dive into the research topics of 'Development tool of Q-nash learning agent for intelligent system'. Together they form a unique fingerprint.

Cite this