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AAAI
1996
14 years 11 months ago
Formalizing Dependency Directed Backtracking and Explanation Based Learning in Refinement Search
The ideas of dependency directed backtracking (DDB) and explanation based learning (EBL) have developed independently in constraint satisfaction, planning and problem solving comm...
Subbarao Kambhampati
AAAI
1996
14 years 11 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
AIMSA
2004
Springer
15 years 3 months ago
Exploiting the Constrainedness in Constraint Satisfaction Problems
Nowadays, many real problem in Artificial Intelligence can be modeled as constraint satisfaction problems (CSPs). A general rule in constraint satisfaction is to tackle the hardes...
Miguel A. Salido, Federico Barber
AAAI
1990
14 years 10 months ago
Some Applications of Graph Bandwidth to Constraint Satisfaction Problems
Bandwidth is a fundamental concept in graph theory which has some surprising applications to a class of AI search problems. Graph bandwidth provides a link between the syntactic s...
Ramin Zabih
FLAIRS
2004
14 years 11 months ago
Dynamic Agent-Ordering and Nogood-Repairing in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalization used to represent problems in distributed multi-agent systems. To deal with realistic problems, mu...
Lingzhong Zhou, John Thornton, Abdul Sattar