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Conference Paper

General Belief Measures

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Weydert,  Emil
Programming Logics, MPI for Informatics, Max Planck Society;

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Citation

Weydert, E. (1994). General Belief Measures. In Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence (pp. 575-582). San Mateo, CA: Morgan Kaufmann.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-AD80-A
Abstract
We introduce a minimal quasi-probabilistic valuation concept and investigate two particularly interesting subclasses of generalized measures : 1. Ranking measures, which subsume Spohn-type and possibility valuations, 2. Cumulative measures, which combine the probabilistic and the ranking philosophy, paving the way to a fine-grained, dynamic account of plain belief in first-order contexts.