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AAAI
1996
13 years 6 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
AAAI
1997
13 years 6 months ago
Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems
Cooperative distributed problem solving (CDPS) loosely-coupledagentscan be effectively modeledas a distributed constraint satisfaction problem(DCSP) whereeach agent has multiple l...
Aaron A. Armstrong, Edmund H. Durfee
COCO
2004
Springer
133views Algorithms» more  COCO 2004»
13 years 10 months ago
Parameterized Complexity of Constraint Satisfaction Problems
We prove a parameterized analog of Schaefer’s Dichotomy Theorem: we show that for every finite boolean constraint family F, deciding whether a formula containing constraints fr...
Dániel Marx
LICS
2009
IEEE
13 years 12 months ago
The Complexity of Global Cardinality Constraints
In a constraint satisfaction problem (CSP) the goal is to find an assignment of a given set of variables subject to specified constraints. A global cardinality constraint is an ...
Andrei A. Bulatov, Dániel Marx
EMNLP
2007
13 years 6 months ago
A Constraint Satisfaction Approach to Dependency Parsing
We present an adaptation of constraint satisfaction inference (Canisius et al., 2006b) for predicting dependency trees. Three different classifiers are trained to predict weighte...
Sander Canisius, Erik Tjong Kim Sang