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Device Representation and Reasoning with Affective Relations

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Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1814-1819.

Abstract

Device representation and reasoning with affective relations occupies a middle ground between classical model-based diagnosis and heuristic expert systems. A device is modeled by specifying a set of diagnostically motivated affective relations among its components. Reasoning is then performed by a set of inference rules that reason with the model to propagate symptoms through the components. Representation and reasoning with affective relations extends several benefits of classical model-based diagnosis- the model as a unifying framework for knowledge, methodical coverage of the domain , and diagnostic reasoning based on equipment design and causality-to a class of problems where classical model-based diagnosis cannot be applied because the required models cannot be reasonably obtained or represented . Our work evolved from our redesign of a heuristic expert system for monitoring long-distance telephone switching systems, and is applicable to highly complex self-checking systems.

James M. Crawford, Daniel Dvorak, Diane J. Litman, Anil Mishra, and Peter F. Patel-Schneider. 1995. Device Representation and Reasoning with Affective Relations. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 1814–1819. https://ijcai.org/proceedings/1995/233
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