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Temporally Coarse Representation of Behavior for Model-based Troubleshooting of Digital Circuits

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Planning, Scheduling, Reasoning About Actions. Pages 887-892.

Abstract

Model-based troubleshooting relies on having a representation of devices that can provide predictions about their behavior based on the observations that the troubleshooter makes. For complex devices such as digital circuit boards , the cost of the prediction process is a major obstacle to practical model-based troubleshooting. But increasing the efficiency of making predictions usually means sacrificing precision - thereby sacrificing diagnostic resolution .- so it is important to have a representation that can provide predictions that are derived from cheap observations and that are yet precise enough so that device misbehaviors will be detectable . This paper presents an implemented representation of board-scale digital circuits that emphasizes the importanc e of appropriate temporal abs tractions for coping with behavioral complexity.

Walter Hamscher. 1989. Temporally Coarse Representation of Behavior for Model-based Troubleshooting of Digital Circuits. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 887–892. https://ijcai.org/proceedings/1989/142
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