Dynamic Backtracking

被引:175
作者
Ginsberg, Matthew L. [1 ]
机构
[1] Univ Oregon, CIRL, Eugene, OR 97403 USA
关键词
D O I
10.1613/jair.1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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
引用
收藏
页码:25 / 46
页数:22
相关论文
共 16 条
[1]   SOLVING COMBINATORIAL SEARCH PROBLEMS BY INTELLIGENT BACKTRACKING [J].
BRUYNOOGHE, M .
INFORMATION PROCESSING LETTERS, 1981, 12 (01) :36-39
[2]  
Dechter R., 1989, IJCAI-89 Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, P271
[3]   AN ASSUMPTION-BASED TMS [J].
DEKLEER, J .
ARTIFICIAL INTELLIGENCE, 1986, 28 (02) :127-162
[4]  
GASCHNIG J, 1979, CMUCS79124
[5]  
Ginsberg M. L., 1990, AAAI-90 Proceedings. Eighth National Conference on Artificial Intelligence, P210
[6]   ITERATIVE BROADENING [J].
GINSBERG, ML ;
HARVEY, WD .
ARTIFICIAL INTELLIGENCE, 1992, 55 (2-3) :367-383
[7]  
Jonsson A. K., 1993, P AAAI SPRING S AI N
[8]  
McAllester D. A., 1993, J ARTIFICIAL INTELLI, V1
[9]  
Minton S., 1990, AAAI-90 Proceedings. Eighth National Conference on Artificial Intelligence, P17
[10]   BACKTRACKING WITH MULTILEVEL DYNAMIC SEARCH REARRANGEMENT [J].
PURDOM, PW ;
BROWN, CA ;
ROBERTSON, EL .
ACTA INFORMATICA, 1981, 15 (02) :99-113