Local computation schemes with partially ordered preferences

  • Hélène Fargier
  • , Nic Wilson

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Many computational problems linked to uncertainty and preference management can be expressed in terms of computing the marginal(s) of a combination of a collection of valuation functions. Shenoy and Shafer showed how such a computation can be performed using a local computation scheme. A major strength of this work is that it is based on an algebraic description: what is proved is the correctness of the local computation algorithm under a few axioms on the algebraic structure. The instantiations of the framework in practice make use of totally ordered scales. The present paper focuses on the use of partially ordered scales and examines how such scales can be cast in the Shafer-Shenoy framework and thus benefit from local computation algorithms. It also provides many examples of such scales, thus showing that each of the algebraic structures explored here is of interest.

Original languageEnglish
Title of host publicationSymbolic and Quantitative Approaches to Reasoning with Uncertainty - 10th European Conference, ECSQARU 2009, Proceedings
Pages34-45
Number of pages12
DOIs
Publication statusPublished - 2009
Event10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009 - Verona, Italy
Duration: 1 Jul 20093 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5590 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009
Country/TerritoryItaly
CityVerona
Period1/07/093/07/09

Keywords

  • Dynamical programming
  • Soft CSP
  • Valuation networks/algebra

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