Domain-independent planning: representation and plan generation
Artificial Intelligence
Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The use of design descriptions in automated diagnosis
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
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This paper describes a generic schematic knowledge representation, acquisition, and manipulation system (SKRAM) applied to diagnostic problem solving in analog circuits. SKRAM is a general purpose declarative, schema-oriented system composed of five layers: (1) an object-oriented implementation layer, (2) a logical layer defining object features, i.e., relations and attributes, (3) an epistemological layer at which schemata are introduced as knowledge packages, (4) a semantic or conceptual layer where meaning is attached to schemata by defining an interpretation mechanism, and (5) a domain layer containing objects and schemata which represent knowledge of the application domain. SKRAM supports the acquisition and maintenance of general and specific knowledge and constructs models of the entities in the application domain, e.g., models of the structure and function of electronic circuits. An example of the use of the declarative representation in the domain of analog circuits is given and the architecture is contrasted with other architectures in similar and related domains.