Journal ArticleDOI
A theory of diagnosis from first principles
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TLDR
The theory accommodates diagnostic reasoning in a wide variety of practical settings, including digital and analogue circuits, medicine, and database updates, and reveals close connections between diagnostic reasoning and nonmonotonic reasoning.About:
This article is published in Artificial Intelligence.The article was published on 1987-10-01. It has received 2830 citations till now. The article focuses on the topics: Non-monotonic logic & Automated theorem proving.read more
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Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.
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Explanation in artificial intelligence: Insights from the social sciences
TL;DR: This paper argues that the field of explainable artificial intelligence should build on existing research, and reviews relevant papers from philosophy, cognitive psychology/science, and social psychology, which study these topics, and draws out some important findings.
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A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods
TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
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Diagnosing multiple faults
J. de Kleer,Brian C. Williams +1 more
TL;DR: The diagnostic procedure presented in this paper is model-based, inferring the behavior of the composite device from knowledge of the structure and function of the individual components comprising the device.
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A review of process fault detection and diagnosis: Part III: Process history based methods
TL;DR: This final part discusses fault diagnosis methods that are based on historic process knowledge that need to be addressed for the successful design and implementation of practical intelligent supervisory control systems for the process industries.
References
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Journal ArticleDOI
A logic for default reasoning
TL;DR: This paper proposes a logic for default reasoning, develops a complete proof theory and shows how to interface it with a top down resolution theorem prover, and provides criteria under which the revision of derived beliefs must be effected.
Journal ArticleDOI
Diagnosing multiple faults
J. de Kleer,Brian C. Williams +1 more
TL;DR: The diagnostic procedure presented in this paper is model-based, inferring the behavior of the composite device from knowledge of the structure and function of the individual components comprising the device.
Journal ArticleDOI
Applications of circumscription to formalizing common-sense knowledge
TL;DR: A new and more symmetric version of the circumscription method of nonmonotonic reasoning first described in (McCarthy 1980) and some applications to formalizing common sense knowledge are presented.
Journal ArticleDOI
Diagnostic reasoning based on structure and behavior
TL;DR: In this paper, the authors describe a system that reasons from first principles, i.e., using knowledge of structure and behavior, to deal with situations that are novel in the sense that their outward manifestations may not have been encountered previously.