This paper introduces the basic concepts of a branch of AI field--the model-based diagnosis and the consistency-based diagnosis, and sums up the advantages and shortages of the model-based diagnosis.

介绍了人工智能领域的一个分支——基于模型的诊断以及基于一致性诊断的基本概念，总结了基于模型诊断的优点和有待改进的地方。

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Consistency - based diagnosis deal with normal behavior models of system, and abductive diagnosis deal with faulty behavior models of system.

基于一致性诊断是处理诊断系统的正常行为模型；溯因诊断是处理诊断系统的故障行为模型。

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