Development Support of Learning Agent on Repository-based Agent Framework

Development Support of Learning Agent on Repository-based Agent Framework

Syo Itazuro (Nagoya Institute of Technology, Japan), Takahiro Uchiya (Nagoya Institute of Technology, Japan), Tetsuo Kinoshita (Tohoku University, Japan) and Ichi Takumi (Nagoya Institute of Technology, Japan)
DOI: 10.4018/jssci.2012070104
OnDemand PDF Download:
No Current Special Offers


Agent-oriented computing is a technique for generating an agent that operates autonomously according to behavioral knowledge. Moreover, an agent can have a characteristic called “learning” skill. More efficient operation of an agent can be expected by support an agent designer who designs and develops an agent equipped with “learning” skill. The authors propose a design support mechanism of a learning agent on a repository-based agent framework called the DASH framework. The proposed mechanism enables an agent designer to design and implement the learning agent without great expertise, thereby reducing the designer’s burden. Herein, they explain the DASH framework, Q-Learning, and the proposed design support mechanism. Moreover, the authors demonstrate the effectiveness of the proposed method using some experiments.
Article Preview

2. Dash Framework

In this research, the Distributed Agent System based on Hybrid architecture (DASH) framework, which is the newest version of distributed agent framework we have developed, is used.

Complete Article List

Search this Journal:
Open Access Articles: Forthcoming
Volume 14: 4 Issues (2022): Forthcoming, Available for Pre-Order
Volume 13: 4 Issues (2021): 3 Released, 1 Forthcoming
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing