Multi-Agent Case-Based Diagnosis in the Aircraft Domain

Aircraft diagnosis is a highly complex topic. Many knowl- edge sources are required and have to be integrated into a diagnosis system. This paper describes the instantiation of a multi-agent system for case-based aircraft diagnosis based on the SEASALT architecture. This system will extend a existing rule-based diagnosis system, to make use of the experience of occurred faults and their solutions. We describe the agents within our diagnosis system, the planned diagnosis workow and the current status of the implementation. For the case-based agents, we give an overview of the initial case structures and similarity measures. In addition, we describe some challenges we have during the development of the multi-agent system, especially during the knowledge modeling.