[full paper] |
Salem Benferhat, Didier Dubois, Henri Prade
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.
Keywords: Uncertainty in AI
Citation: Salem Benferhat, Didier Dubois, Henri Prade: Kalman-like filtering and updating in a possibilistic setting. In W.Horn (ed.): ECAI2000, Proceedings of the 14th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2000, pp.8-12.