A sentinel based exception diagnosis in market based multi-agent systems

Authors:
Nazaraf Shah;Kuo-Ming Chao;Nick Godwin;Anne James;Chun-Lung Huang
Affiliations:
DSM Research Group, Department of Computer and Network Systems, Coventry University, Coventry, UK;DSM Research Group, Department of Computer and Network Systems, Coventry University, Coventry, UK;DSM Research Group, Department of Computer and Network Systems, Coventry University, Coventry, UK;DSM Research Group, Department of Computer and Network Systems, Coventry University, Coventry, UK;Institute of Information Management, National Chiao Tung University, Taiwan
Venue:
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
Year:
2006

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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.