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A Sentinel Based Exception Diagnosis in Market Based Multi-Agent Systems

Nazaraf ShahContact Information, Kuo-Ming ChaoContact Information, Nick GodwinContact Information, Anne JamesContact Information and Chun-Lung HuangContact Information

(1)  DSM Research Group, Department of Computer and Network Systems, Coventry University, Coventry, UK
(2)  Institute of Information Management, National Chiao Tung University, Taiwan
Abstract
Market based Multi-agent systems (MAS) operate in an open and dynamic environment where agents enter and leave the system unpredictably. The dynamism and unpredictable nature of an open environment gives rise to unpredictable exceptions. It becomes essential to have some exception diagnosis mechanisms in these systems to effectively manage their exception diagnose processes. The defining characteristic of mechanisms is their ability to provide a uniform exception diagnosis capability to independently developed agents. In this paper we present a brief discussion of our proposed sentinel based approach to exception diagnosis in an open MAS and discuss the accuracy and performance overhead of our approach when applying in a market based MAS.

Contact Information Nazaraf Shah
Email: n.shah@coventry.ac.uk

Contact Information Kuo-Ming Chao
Email: k.chao@coventry.ac.uk

Contact Information Nick Godwin
Email: a.n.godwin@coventry.ac.uk

Contact Information Anne James
Email: a.james@coventry.ac.uk

Contact Information Chun-Lung Huang
Email: clhuang@iim.nctu.edu.tw
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