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 language | English |
|---|---|
| Pages (from-to) | 230-242 |
| Number of pages | 13 |
| Journal | Lecture Notes in Computer Science |
| Volume | 2711 |
| DOIs | |
| Publication status | Published - 2003 |
| Event | 7th European Conference, ECSQARU 2003 - Aalborg, Denmark Duration: 2 Jul 2003 → 5 Jul 2003 |