@inproceedings{2fa24ac59d214e5b8f8187b474794a5e,
title = "Development tool of Q-nash learning agent for intelligent system",
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.",
keywords = "Agent, Agent framework, Learning agent, Nash-Q learning",
author = "Masato Hibino and Takahiro Uchiya and Ichi Takumi and Tetsuo Kinoshita",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 18th International Conference on Network-Based Information Systems, NBiS 2015 ; Conference date: 02-09-2015 Through 04-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/NBiS.2015.85",
language = "English",
series = "Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "581--585",
editor = "Leonard Barolli and Makoto Takizawa and Fatos Xhafa and Hui-Huang Hsu and Tomoya Enokido",
booktitle = "Proceedings - 2015 18th International Conference on Network-Based Information Systems, NBiS 2015",
}