Agent based decision support system using reinforcement learning under emergency circumstances

Authors:
Devinder Thapa;In-Sung Jung;Gi-Nam Wang
Affiliations:
Department of Industrial and Information Engineering, Ajou University, South Korea;Department of Industrial and Information Engineering, Ajou University, South Korea;Department of Industrial and Information Engineering, Ajou University, South Korea
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

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Abstract

This paper deals with agent based decision support system for patient's right diagnosis and treatment under emergency circumstance. The well known reinforcement learning is utilized for modeling emergency healthcare system. Also designed is a novel interpretation of Markov decision process providing clear mathematical formulation to connect reinforcement learning as well as to express integrated agent system. Computational issues are also discussed with the corresponding solution procedure.