An architecture for exception management in multiagent systems
International Journal of Agent-Oriented Software Engineering
Challenges for Exception Handling in Multi-Agent Systems
Software Engineering for Multi-Agent Systems V
Exception Diagnosis Architecture for Open Multi-Agent Systems
Software Engineering for Multi-Agent Systems V
Exception representation and management in open multi-agent systems
Information Sciences: an International Journal
An application perspective evaluation of multi-agent system in versatile environments
Expert Systems with Applications: An International Journal
An ACL for specifying fault-tolerant protocols
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
A sentinel based exception diagnosis in market based multi-agent systems
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
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Open multi-agent systems (MAS) are decentralized and highly distributed systems that consist of a large number of loosely coupled autonomous agents. Diagnosing exceptions in such systems is a complex task due to the distributed nature of their data and their control. This complexity is exacerbated in open environments where independently developed autonomous agents interact with each other in order to achieve their goals. Inevitably, exceptions will occur in such MAS and these exceptions can arise at one of three levels, namely environmental, knowledge and social levels. In this paper we propose a novel exception diagnosis system that is able to analyse and detect exceptions effectively. The proposed architecture consists of specialised exception diagnosis agents called sentinel agents. The sentinel agents are equipped with knowledge of observable abnormal situations, and their underlying causes.