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...
The ideas of dependency directed backtracking (DDB) and explanation based learning (EBL) have developed independently in constraint satisfaction, planning and problem solving comm...
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...
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...
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...