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  Measure Selection: Notions of Rationality and Representation Independence

Jaeger, M. (1998). Measure Selection: Notions of Rationality and Representation Independence. In G. S. Cooper, & S. Moral (Eds.), Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI-98) (pp. 274-281). San Francisco, USA: Morgan Kaufmann.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-3854-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-3855-7
Genre: Conference Paper

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 Creators:
Jaeger, Manfred1, Author           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: We take another look at the general problem of selecting a preferred probability measure among those that comply with some given constraints. The dominant role that entropy maximization has obtained in this context is questioned by arguing that the minimum information principle on which it is based could be supplanted by an at least as plausible ``likelihood of evidence'' principle. We then review a method for turning given selection functions into representation independent variants, and discuss the tradeoffs involved in this transformation.

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Language(s): eng - English
 Dates: 2010-03-121998
 Publication Status: Issued
 Pages: -
 Publishing info: San Francisco, USA : Morgan Kaufmann
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 519663
Other: Local-ID: C1256104005ECAFC-561F26CD4AE59824C12566F0005CDA28-Jaeger1998c
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Title: Untitled Event
Place of Event: Madison, USA
Start-/End Date: 1998

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Title: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI-98)
Source Genre: Proceedings
 Creator(s):
Cooper, Gregory S., Editor
Moral, Serafín, Editor
Affiliations:
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Publ. Info: San Francisco, USA : Morgan Kaufmann
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 274 - 281 Identifier: -