2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/151971Because 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.See http://www.jair.org/ for an online appendix and other files accompanying this articleArtificial Intelligencetext