Peer-Reviewed Journal Details
Mandatory Fields
Authors
Fargier, H,Rollon, E,Wilson, N;
Year
2010
Month
January
Journal
Constraints
Title
Enabling local computation for partially ordered preferences
Status
Validated
Times Cited
()
Optional Fields
Keywords
Soft constraints Dynamic programming Local computation Valuation networks/algebra CONSTRAINT SATISFACTION OPTIMIZATION
Volume
15
Issue
Start Page
516
End Page
539
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 several examples of such scales, thus showing that each of the algebraic structures explored here is of interest.
Publisher Location
ISBN / ISSN
Edition
URL
DOI Link
DOI 10.1007/s10601-010-9094-z
Grant Details
Funding Body
Grant Details