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Over the past ten years, a significant amount of research has been devoted to the use of Distributed Artificial Intelligence Techniques for Expert Systems Design and Development. The use of Multi-Agent architectures provides several benefits such as modularizing problem-solving knowledge, alleviating the complexity of developing knowledge-based systems by distributing knowledge amongst a group of cooperating agents, or facilitating the integration of heterogeneous knowledge schemes and reasoning mechanisms. However, significant problems yet remain such as how to model the expertise of the medical application domain and incorporate such models within the multi-agent system architecture.
In this paper, we describe our experience in designing cooperating expert systems and distributed knowledge acquisition frameworks specifically to build medical applications. To achieve this, we have developed and proposed a methodology to guide these processes. Concepts dealing with this development methodology become concrete through the design and development of KIDS (Knowledge based Image Diagnosis System), a Multi-Agent Expert System devoted to Breast Cancer Diagnosis.
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