Constraint propagation with interval labels
Artificial Intelligence
Constraint satisfaction in logic programming
Constraint satisfaction in logic programming
Constraint satisfaction using constraint logic programming
Artificial Intelligence - Special volume on constraint-based reasoning
A filtering algorithm for constraints of difference in CSPs
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Foundational issues in implementing constraint logic programming systems
ESOP '94 Selected papers of ESOP '94, the 5th European symposium on Programming
Strategic directions in constraint programming
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
Combinatorial optimization
Communications of the ACM
Value Constraints in the CLP Scheme
Constraints
Constraint Logic Programming in the Sequent Calculus
LPAR '94 Proceedings of the 5th International Conference on Logic Programming and Automated Reasoning
From Chaotic Iteration to Constraint Propagation
ICALP '97 Proceedings of the 24th International Colloquium on Automata, Languages and Programming
Selected Papers from Constraint Programming: Basics and Trends
Consistency techniques for numeric CSPs
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Executing Suspended Logic Programs
Fundamenta Informaticae
Building Constraint Satisfaction Problem Solvers Using Rewrite Rules and Strategies
Fundamenta Informaticae
Some Remarks on Boolean Constraint Propagation
Selected papers from the Joint ERCIM/Compulog Net Workshop on New Trends in Contraints
Building Constraint Satisfaction Problem Solvers Using Rewrite Rules and Strategies
Fundamenta Informaticae
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We provide here a proof theoretic account of constraint programming that attempts to capture the essential ingredients of this programming style. We exemplify it by presenting proof rules for linear constraints over interval domains, and illustrate their use by analyzing the constraint propagation process for the SEND + MORE = MONEY puzzle. We also show how this approach allows one to build new constraint solvers.