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CSRL: A Language for Expert Systems for Diagnosis

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Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 218-220.

Abstract

We present CSRL (Conceptual Structures Representation Language) as a language to facilitate the development of expert diagnosis systems based on a paradigm of "cooperating diagnostic specialists." MDX, the medical diagnosis system that has been developed in our laboratory over the past few years is based on this paradigm. In our approach, diagnostic reasoning is one of several generic tasks, each of which calls for a particular organizational and problem solving structure. A diagnostic structure is composed of a collection of specialists, each of which corresponds to a node or "concept" in a diagnostic hierarchy, e.g., a classification of diseases. A top-down strategy called establish-refine is used in which either a specialist establishes and then refines itself, or the specialist rejects itself, pruning the hierarchy that it heads. CSRL is a language for representing the concepts of a diagnostic hierarchy and for implementing the establish-refine process. The body of a concept specifies how it will respond to different messages from its superconcept. The knowledge to establish or reject a concept is factored into knowledge groups, which correspond to specific decisions in the diagnosis. We also introduce the concept of a family of languages in which different languages for diagnosis are designed for different kinds of end users.

Tom Bylander, Sanjay Mittal, and B. Chandrasekaran. 1983. CSRL: A Language for Expert Systems for Diagnosis. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83. IJCAI, 218–220. https://ijcai.org/proceedings/1983/52
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