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.
Cite
@article{arxiv.cs/9308101,
title = {Dynamic Backtracking},
author = {M. L. Ginsberg},
journal= {arXiv preprint arXiv:cs/9308101},
year = {2008}
}
Comments
See http://www.jair.org/ for an online appendix and other files accompanying this article