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Dechter, R., Pearl, J. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1-38, 1988.

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Tree Decomposition of Disjunctive Fuzzy Temporal.. - Bosch, Torres.. (2001)   (Correct)

....the fact that there is only a path without loops between each pair of variables X i , X j (not directly constrained) and this path gives the minimal constraint between X i , X j . Original constraints of the tree are yet minimal. To obtain a solution in the tree, we can use a method proposed by [3] for searching solutions in CSP with tree structure. The method starts instantiating the root variable, corresponding to time origin, X 0 . Next, we obtain a preorder list of the variables, and take one of the variables of this list in each step. The assignation of the value is done looking at the ....

R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems, Artificial Intelligence, 34, 1988, pp. 1-38.


Default Reasoning Using Classical Logic - Ben-Eliyahu, Dechter (1995)   (3 citations)  Self-citation (Dechter)   (Correct)

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Rina Dechter and Judea Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


Variable Independence in Markov Decision Problems - Rish, Dechter   Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl, Network-based heuristics for constraint satisfaction problems. In Artificial Intelligence, 34, pp. 1-38, 1987.


On the Impact of Causal Independence - Rish, Dechter (1998)   (2 citations)  Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


A Scheme for Approximating Probabilistic Inference - Rina Dechter And (1997)   (15 citations)  Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


The Impact of AND/OR Search Spaces on Constraint.. - Dechter, Mateescu (2004)   Self-citation (Dechter)   (Correct)

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Dechter, R., Pearl, J.: Network-based heuristics for constraint satisfaction problems. Artificial Intelligence 34 (1987) 1--38


Mini-Buckets: A General Scheme for Generating Approximations in.. - Dechter (1997)   (10 citations)  Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl. Networkbased heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


On the Minimality and Global Consistency of Row-Convex.. - van Beek, Dechter   (13 citations)  Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


On Finding Minimal W-Cutset Problem - Bozhena Bidyuk And   Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl, `Network-based heuristics for constraint satisfaction problems', Artificial Intelligence, 34, 1--38, (1987).


Mini-Buckets: A General Scheme for Approximating Inference - Dechter, Rish (1998)   (4 citations)  Self-citation (Dechter)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Backjump-based Backtracking for Constraint Satisfaction Problems - Dechter, Frost (2001)   (3 citations)  Self-citation (Dechter)   (Correct)

....node , arc , and path consistency [48] correspond to 1 , 2 , and 3consistency, respectively. Given an ordering of the variables, the network is directional k consistent i any subset of k 1 variables is k consistent relative to every single variable that succeeds the k 1 variables in the ordering [20]. A problem that is k consistent for all k is called globally consistent. A variety of algorithms have been developed for enforcing di erent levels of local consistency, which is also called constraint propagation [50,58,14,79,8,20] For example, arc consistency algorithms can delete values from ....

....to every single variable that succeeds the k 1 variables in the ordering [20] A problem that is k consistent for all k is called globally consistent. A variety of algorithms have been developed for enforcing di erent levels of local consistency, which is also called constraint propagation [50,58,14,79,8,20]. For example, arc consistency algorithms can delete values from the domains of variables, to ensure that each value in the domain of each variable is consistent with at least one value in the domain of each other variable. Path consistency is achieved by introducing new constraints or nogoods ....

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Arti cial Intelligence, 34:1-38, Dec. 1987.


Asynchronous Backtracking with temporary and fixed.. - Muscalagiu..   (Correct)

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Dechter, R., Pearl, J. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1-38, 1988.


An Optimal Coarse-grained Arc Consistency Algorithm - Bessiere, Regin, Yap, Zhang (2001)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


Asynchronous Backtracking without Adding Links: A.. - Bessiere, Brito.. (2005)   (1 citation)  (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


The Asynchronous Backtracking Family - Christian Bessiere Ismel (2003)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


Unknown - (1993)   (Correct)

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Dechter, R., & Pearl, J. (1987). Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34, 1-38.


Constraint Propagation - Bessiere (2006)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraintsatisfaction problems. Artificial Intelligence, 34:1--38, 1988.


Treewidth in Verification: Local vs. Global - Ferrara, Pan, Vardi   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Constrainedness and Redundancy by Constraint Ordering - Salido, Barber   (Correct)

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R. Dechter and J. Pearl, `Network-based heuristics for constraint satisfaction problems ', Artificial Intelligence, 34, 1--38, (1988).


Distributing Constraints by Sampling in Non-binary CSPs - Salido, Giret, Barber (2003)   (Correct)

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Dechter, R., and Pearl, J. 1988. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence 34:1--38.


Exploiting the Constrainedness in Constraint Satisfaction.. - Salido, Barber   (Correct)

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R. Dechter and J. Pearl, `Network-based heuristics for constraint satisfaction problems ', Artificial Intelligence, 34, 1--38, (1988).


On Tightness of Constraints - Yuanlin Zhang Cork   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


On Tightness of Constraints - Yuanlin Zhang Cork   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Consistency Techniques in Constraint Networks - Yuanlin (2003)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Decomposable Constraints - Ian Gent Computer (1999)   (7 citations)  (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraintsatisfaction problems. Artificial Intelligence, 34:1--38, 1988.


Constraint Satisfaction Methods for Information Personalization - Abidi, Chong   (Correct)

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Dechter R, Pearl J, Network based heuristics for constraint satisfaction problems. Search in Artificial Intelligence, Springer Verlag, Berlin, 1988, pp. 370-425.


Comparing Two Implementations of a Complete and.. - Subbarayan.. (2004)   (Correct)

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Dechter, R., Pearl, J.: Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence 34 (1987) 1--38


Decomposable Constraints - Ian Gent Kostas (1999)   (7 citations)  (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


Constraints, Varieties, and Algorithms - van Dongen (2002)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraintsatisfaction problems. Artificial Intelligence, 34(1):1--38, 1988.


Decomposable Constraints - Ian Gent Kostas (1999)   (7 citations)  (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1988.


A Logic of Partially Satisfied Constraints - Wilson (2003)   (Correct)

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Dechter, R., and Pearl,J., Network-based Heuristics for Constraint Satisfaction Problems, Artificial Intelligence, 34, 1--38, (1987).


Representation and Reasoning with Non-Binary Constraints - Stergiou (2001)   (Correct)

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R. Dechter and J. Pearl. Network-Based Heuristics for Constraint Satisfaction Problems. Arti cial Intelligence, 34(1):1-38, 1988.


Forward Checking with Backmarking - June Patrick Prosser (1995)   (13 citations)  (Correct)

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R. Dechter and J. Pearl, Network-based heuristics for constraint-satisfaction problems, Artif. Intell. 34(1) (1988) 1-38


Iterative Algorithms for Graphical Models - Mateescu (2003)   (Correct)

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Dechter, R., and Pearl, J. 1987. Network-based heuristics for constraint satisfaction problems. Artificial Intelligence 34:1--38.


Projection Pushing Revisited - McMahan, Pan, Porter, Vardi   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Answering Queries: Tractable Cases and Optimizations - Scarcello (2001)   (Correct)

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Rina Dechter and Judea Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34(1):1--38, 1987. 18


Exploiting the Constrainedness in Constraint Satisfaction.. - Salido, Barber   (Correct)

No context found.

R. Dechter and J. Pearl, `Network-based heuristics for constraint satisfaction problems ', Artificial Intelligence, 34, 1--38, (1988).


Search vs. Symbolic Techniques in Satisfiability Solving - Pan, Vardi   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Satisfaction Guaranteed - Eugene Freuder And   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34(1):1--38, 1987.


Guiding SAT Diagnosis with Tree Decompositions - Bjesse, Kukula, Damiano.. (2004)   (1 citation)  (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34(1):1--34, 1988.


Dynamic Flexible Constraint Satisfaction and its Application to.. - Miguel (2001)   (5 citations)  (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraintsatisfaction problems. Arti cial Intelligence, 34:1-38, 1988.


Probable Consistency Checking For Sets Of Propositional Clauses - Hunter   (Correct)

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R Dechter and J Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Uncorrected - Aid Vol Artificial   (Correct)

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R. Dechter, J. Pearl, Network-based heuristics for constraint-satisfaction problems, Artificial Intelligence 34 (1987) 1--38.


On Binary Constraint Problems - Peter Ladkin Institut (1994)   (62 citations)  (Correct)

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Dechter, R., and Pearl, J., Network-Based Heuristics for Constraint-Satisfaction Problems, Artificial Intelligence 34, 1988, pp1--38.


Constraints, Varieties, and Algorithms - van Dongen (2002)   (Correct)

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R. Dechter and J. Pearl. Network-based heuristics for constraintsatisfaction problems. Artificial Intelligence, 34(1):1--38, 1988.


Constraint Satisfaction Problems In - Non-Deterministic Logarithmic Space   (Correct)

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R. Dechter and J. Pearl. Network-based Heuristics for Constraint Satisfaction Problems. Arti cial Intelligence, 34(1):1-38, 1988.


Automating the Process of Optimization in - Spacecraft Design Alex   (Correct)

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R. Dechter and J. Pearl. "Network-based heuristics for constraint-satisfaction problems," Artificial Intelligence, 34(1):1-38, 1987.


Reasoning with Disjunctive Fuzzy Temporal Constraint Networks - Bosch, Torres, Marin (2002)   (Correct)

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Dechter, R., Pearl, J.: Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34 (1987) 1-38


Logical Comparison of Inconsistent Perspectives Using Scoring.. - Hunter (2003)   (Correct)

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R Dechter and J Pearl. Network-based heuristics for constraint-satisfaction problems. Artificial Intelligence, 34:1--38, 1987.


Closure Functions and Width 1 Problems - Dalmau, Pearson (1999)   (2 citations)  (Correct)

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R. Dechter and J. Pearl. Network-based Heuristics for Constraint Satisfaction Problems. Artificial Intelligence, 34(1):1--38, 1988.

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