Decision network semantics of branching constraint satisfaction problems

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Abstract

Branching Constraint Satisfaction Problems (BCSPs) have been introduced to model dynamic resource allocation subject to constraints and uncertainty. We give BCSPs a formal probability semantics by showing how they can be mapped to a certain class of Bayesian decision networks. This allows us to describe logical and probabilistic constraints in a uniform fashion. We also discuss extensions to BCSPs and decision networks suggested by the relationship between the two formalisms.

Original languageEnglish
Pages (from-to)230-242
Number of pages13
JournalLecture Notes in Computer Science
Volume2711
DOIs
Publication statusPublished - 2003
Event7th European Conference, ECSQARU 2003 - Aalborg, Denmark
Duration: 2 Jul 20035 Jul 2003

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