Abstract
Recent extensions of classical belief change processes tend to get closer to numerical estimation techniques. A thorough investigation is proposed, in which Kalman filtering is confronted to classical AGM revision and KM update and to more recent approaches. The aim is to identify common aspects and differences, and to highlight the progressive evolution of belief change processes towards what would be a symbolic transposition of numerical estimation tools.
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CITATION STYLE
Cossart, C., & Tessier, C. (1999). Filtering VS revision and update: Let us debate! In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1638, pp. 116–127). Springer Verlag. https://doi.org/10.1007/3-540-48747-6_11
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