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CP
2006
Springer
13 years 8 months ago
Failure Analysis in Backtrack Search for Constraint Satisfaction
Abstract. Researchers have focused on assessing the quality of search algorithms by measuring effort, number of mistakes, runtime distributions and other characteristics. In this p...
Tudor Hulubei, Barry O'Sullivan
AAAI
1996
13 years 6 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
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
IJCAI
1993
13 years 6 months ago
Domain Filtering can Degrade Intelligent Backtracking Search
This paper presents an improved backjumping algonthm for the constraint satisfaction problem, namely conflictdirected backjumping (CBJ). CBJ is then modified such that it can dete...
Patrick Prosser
AAAI
1990
13 years 6 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