Defaults, Logic and Probability - A theoretical perspective

Weydert, Emil

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Defaults, Logic and Probability - A theoretical perspective

Weydert, E. (2001). Defaults, Logic and Probability - A theoretical perspective. KI - Künstliche Intelligenz, 4/01, 44-49.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-3212-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-3213-9

Genre: Journal Article

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Weydert, Emil¹, Author

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

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Abstract: The complexity of the real world and the restricted availability of knowledge call for powerful logical frameworks to deal with uncertainty, reaching from qualitative default formalisms to quantitative probability logics. In particular, reasoning under uncertainty requires defeasible inference notions. We take a general look at these issues, with a special emphasis on quasi-probabilistic approaches to default reasoning.

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Language(s): eng - English

Dates: Modified: 2010-03-12Date issued: 2001

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 519780
Other: Local-ID: C1256104005ECAFC-377EBFA7855FB2D9C1256A0100336443-Weydert2001d

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Title: KI - Künstliche Intelligenz

Source Genre: Journal

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Pages: - Volume / Issue: 4/01 Sequence Number: - Start / End Page: 44 - 49 Identifier: ISSN: 0933-1875