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A mathematical model for learning agents on a multi-agent system

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4 Author(s)
M. Furukawa ; Dept. of Inf. Technol., Asahikawa Nat. Coll. of Technol., Japan ; M. Watanabe ; M. Kinoshita ; Y. Kakazu

A term "the learning agent" on the multi-agent system has appeared in the beginning of 1990's [LJ Lin, 1991]. Since then, a number of researches have been studied some applications of the learning agents on the basis of reinforcement learning such as SLA and Q-learning incorporated with the automation, as well as [Michiko Watanabe et al., 2001]. However, in designing the learning agents, there are questions; what stands on the state and action model, and the state and action evaluate function? How is the reward designed? This paper aims at developing a mathematical model for the learning agents of the multi-agent system to answer these questions. The learning agent is derived from the introduced formulation. Also, the relation of reward between the multi-agents is analyzed using mathematical model as well.

Published in:

Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on  (Volume:3 )

Date of Conference:

16-20 July 2003