Network-based heuristics for constraint-satisfaction problems
Artificial Intelligence
Enhancement schemes for constraint processing: backjumping, learning, and cutset decomposition
Artificial Intelligence
Artificial Intelligence - Special issue on knowledge representation
A model and a language for the fuzzy representation and handling of time
Fuzzy Sets and Systems
Uncovering trees in constraint networks
Artificial Intelligence
A theoretical evaluation of selected backtracking algorithms
Artificial Intelligence
Processing disjunctions in temporal constraint networks
Artificial Intelligence
A Sufficient Condition for Backtrack-Free Search
Journal of the ACM (JACM)
Backtracking algorithms for disjunctions of temporal constraints
Artificial Intelligence
Graph Algorithms
Temporal Constraints: A Survey
Constraints
LaTeR: A General Purpose Manager of Temporal Information
ISMIS '94 Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems
Reasoning with Disjunctive Fuzzy Temporal Constraint Networks
TIME '02 Proceedings of the Ninth International Symposium on Temporal Representation and Reasoning (TIME'02)
A tractable subclass of fuzzy constraint networks
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
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In this work, we present a Disjunctive Fuzzy Constraint Networks model for continuous domains, which generalizes the Disjunctive Fuzzy Temporal Constraint Networks model for temporal reasoning, and we propose the use of the series-parallel and tree-decomposition approaches for simplifying its processing. After a separate empirical evaluation process of both techniques, a combined evaluation process over the same problem repository has been carried out, finding that series-parallel problems practically subsume tree-decomposable problems.