English

Dynamic Backtracking

Artificial Intelligence 2008-02-03 v1

Abstract

Because of their occasional need to return to shallow points in a search tree, existing backtracking methods can sometimes erase meaningful progress toward solving a search problem. In this paper, we present a method by which backtrack points can be moved deeper in the search space, thereby avoiding this difficulty. The technique developed is a variant of dependency-directed backtracking that uses only polynomial space while still providing useful control information and retaining the completeness guarantees provided by earlier approaches.

Keywords

Cite

@article{arxiv.cs/9308101,
  title  = {Dynamic Backtracking},
  author = {M. L. Ginsberg},
  journal= {arXiv preprint arXiv:cs/9308101},
  year   = {2008}
}

Comments

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