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Probabilistic diagnosis as an update problem

  • Reasoning with Changing and Incomplete Information
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Learning and Reasoning with Complex Representations (PRICAI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1359))

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Abstract

Incompleteness is addressed by using a framework that allows expression of probability. An update procedure is given to handle nonmonotonic change of knowledge. We point out the relationship between probabilistic diagnosis and probabilistic deductive database updates, and present a coincidence theorem which formally establishes it. An implication of the result allows us to treat diagnostic problems naturally within a probabilistic deductive database framework using the same procedure to insert and diagnose.

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Grigoris Antoniou Aditya K. Ghose Mirosław Truszczyński

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© 1998 Springer-Verlag Berlin Heidelberg

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Restificar, A.C. (1998). Probabilistic diagnosis as an update problem. In: Antoniou, G., Ghose, A.K., Truszczyński, M. (eds) Learning and Reasoning with Complex Representations. PRICAI 1996. Lecture Notes in Computer Science, vol 1359. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-64413-X_41

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  • DOI: https://doi.org/10.1007/3-540-64413-X_41

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64413-2

  • Online ISBN: 978-3-540-69780-0

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