Autonomous agent control based on variable neighbourhoods
by S. Ubukata, Y. Kudo, T. Murai
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 3, No. 1, 2011

Abstract: In this paper, we propose a model in which an autonomous agent selects actions based on variable neighbourhoods. We formulate relationships among variable neighbourhoods, the agent's observations, and the agent's behaviours in a framework of rough set theory and topological spaces. The main task is to explore a method by which we can select sizes of neighbourhoods under given contexts. We also show simulation results of the proposed method.

Online publication date: Sun, 26-Dec-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com