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A Guided Tour of Artificial Intelligence ResearchValued Constraint Satisfaction Problems

A Guided Tour of Artificial Intelligence Research: Valued Constraint Satisfaction Problems [AsOptimisationdiscrete an extensionCooper, Martin C. of constraint networks, valued constraint networks (or valued CSPs) define a unifyingDe Givry, Simon framework for modelling optimisation problems over finite domains in which the cost domain (also denoted as the valuation structure) can be symbolic or numeric but is totally ordered. As is the case for constraint networks, valued CSPs can be viewedSchiex, Thomas as graphical models, defined by a set of variables with an associated finite domain and by a set of cost functions, each involving a subset of the variables. Before reading this chapter, we strongly advise the reader to finish reading chapter “Constraint Reasoning” of this Volume, dedicated to the Constraint Satisfaction Problem.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Guided Tour of Artificial Intelligence ResearchValued Constraint Satisfaction Problems

Editors: Marquis, Pierre; Papini, Odile; Prade, Henri

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References (94)

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-06166-1
Pages
185 –207
DOI
10.1007/978-3-030-06167-8_7
Publisher site
See Chapter on Publisher Site

Abstract

[AsOptimisationdiscrete an extensionCooper, Martin C. of constraint networks, valued constraint networks (or valued CSPs) define a unifyingDe Givry, Simon framework for modelling optimisation problems over finite domains in which the cost domain (also denoted as the valuation structure) can be symbolic or numeric but is totally ordered. As is the case for constraint networks, valued CSPs can be viewedSchiex, Thomas as graphical models, defined by a set of variables with an associated finite domain and by a set of cost functions, each involving a subset of the variables. Before reading this chapter, we strongly advise the reader to finish reading chapter “Constraint Reasoning” of this Volume, dedicated to the Constraint Satisfaction Problem.]

Published: May 8, 2020

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