Exception Diagnosis Architecture for Open Multi-Agent Systems

Authors:
Nazaraf Shah;Kuo-Ming Chao;Nick Godwin
Affiliations:
Software Engineering Research Group, Sheffield Hallam University, Sheffield, 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
Venue:
Software Engineering for Multi-Agent Systems V
Year:
2007

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Abstract

Multi-Agent Systems (MAS) are collection of loosely coupled intelligent agents. These systems operate in a distributed, highly dynamic, unpredictable and unreliable environment in order to meet their overall goals. Agents in such an environment are vulnerable to different types of run time exceptions. It is necessary to have an effective exception diagnosis and resolution mechanism in place in order to ensure reliable interactions between agents. In this paper, we propose novel exception diagnosis architecture for open MAS. The proposed architecture classifies the runtime exceptions and diagnoses the underlying causes of exceptions using a heuristic classification technique. The proposed architecture is realised in terms of specialised exception diagnosing agents known as sentinel agents. The sentinel agents act as delegates of problem solving agents and mediate interactions between them.