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Kalman-like filtering and updating in a possibilistic setting

Abstract : This paper proposes a qualitative counterpart of Kalman filtering in the possibilistic logic setting. It corresponds to a type of updating involving a prediction step followed by a revision step. This is compared with updating operations based on imaging in the sense of Lewis. Imaging is reconsidered in the perspective of a generalized view of Kalman filtering where it appears as a particular case of Kalman filtering. A syntactic counterpart of qualitative filtering is given in terms of weighted knowledge bases.
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Conference papers
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Contributor : Fabien Delorme <>
Submitted on : Tuesday, September 7, 2021 - 11:01:29 AM
Last modification on : Friday, September 10, 2021 - 4:39:00 PM


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  • HAL Id : hal-03299818, version 1


Salem Benferhat, Didier Dubois, Henri Prade. Kalman-like filtering and updating in a possibilistic setting. 14th European Conference on Artificial Intelligence (ECAI 2000), Aug 2000, Berlin Humboldt University, Unknown Region. pp.8-12. ⟨hal-03299818⟩



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