General Belief Measures

Weydert, Emil

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General Belief Measures

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-AD80-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-AD81-8

Genre: Conference Paper

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Creators:
Weydert, Emil¹, Author

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1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045

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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.

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Language(s): eng - English

Dates: Modified: 2010-03-12Date issued: 1994

Publication Status: Issued

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Publishing info: San Mateo, CA : Morgan Kaufmann

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Identifiers: eDoc: 519643
Other: Local-ID: C1256104005ECAFC-F819EC665FD63FCBC125614400623EA9-Weydert94a

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Title: Untitled Event

Place of Event: University of Washington, Seattle, WA

Start-/End Date: 1994

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Title: Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence

Source Genre: Proceedings

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Publ. Info: San Mateo, CA : Morgan Kaufmann

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 575 - 582 Identifier: -