Multiagent coordination utilising Q-learning Online publication date: Mon, 26-Nov-2007
by Srikanta Patnaik, N.P. Mahalik
International Journal of Automation and Control (IJAAC), Vol. 1, No. 4, 2007
Abstract: The problem 'Coordination' among multiple agents is an active and open-ended problem of robotics. The coordination problem, considered in this paper, has been divided into three categories: (1) Spatial coordination; (2) Temporal coordination and (3) Spatio-temporal coordination. The principles of 'Situation Calculus' have been extended to model the spatial coordination problem of robot. The concept of temporal coordination has been introduced with Situated Automata and Q-learning. The collective learning behaviour of a multiagent system has been improved by the principles of Q-learning. The spatio-temporal coordination, that deals with the coordination problem involving both space and time has been modelled using the timed Petri nets. The special emphasis has been given to the behavioural model of eye and hand coordination of a mobile robot. One typical application of the multiagent coordination in the soccer playing robot has been proposed at the end of this paper.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Automation and Control (IJAAC):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook