Local and global relational consistency

被引:56
作者
Dechter, R [1 ]
vanBeek, P [1 ]
机构
[1] UNIV ALBERTA, DEPT COMP SCI, EDMONTON, AB T6G 2H1, CANADA
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
D O I
10.1016/S0304-3975(97)86737-0
中图分类号
TP301 [理论、方法];
学科分类号
081202 [计算机软件与理论];
摘要
Local consistency has proven to be an important concept in the theory and practice of constraint networks. In this paper, we present a new definition of local consistency, called relational consistency. The new definition is relation-based, in contrast with the previous definition of local consistency, which we characterize as variable-based. We show the conceptual power of the new definition by showing how it unifies known elimination operators such as resolution in theorem proving, joins in relational databases, and variable elimination for solving linear inequalities. Algorithms for enforcing various levels of relational consistency are introduced and analyzed. We also show the usefulness of the new definition in characterizing relationships between properties of constraint networks and the level of local consistency needed to ensure global consistency.
引用
收藏
页码:283 / 308
页数:26
相关论文
共 38 条
[1]
LINEAR TIME ALGORITHMS FOR NP-HARD PROBLEMS RESTRICTED TO PARTIAL K-TREES [J].
ARNBORG, S ;
PROSKUROWSKI, A .
DISCRETE APPLIED MATHEMATICS, 1989, 23 (01) :11-24
[2]
ARNBORG S, 1985, BIT, V25, P2, DOI 10.1007/BF01934985
[3]
ON THE DESIRABILITY OF ACYCLIC DATABASE SCHEMES [J].
BEERI, C ;
FAGIN, R ;
MAIER, D ;
YANNAKAKIS, M .
JOURNAL OF THE ACM, 1983, 30 (03) :479-513
[4]
Bertele U, 1972, NONSERIAL DYNAMIC PR
[5]
AN OPTIMAL KAPPA-CONSISTENCY ALGORITHM [J].
COOPER, MC .
ARTIFICIAL INTELLIGENCE, 1989, 41 (01) :89-95
[6]
CHARACTERIZING TRACTABLE CONSTRAINTS [J].
COOPER, MC ;
COHEN, DA ;
JEAVONS, PG .
ARTIFICIAL INTELLIGENCE, 1994, 65 (02) :347-361
[7]
A COMPUTING PROCEDURE FOR QUANTIFICATION THEORY [J].
DAVIS, M ;
PUTNAM, H .
JOURNAL OF THE ACM, 1960, 7 (03) :201-215
[8]
TEMPORAL CONSTRAINT NETWORKS [J].
DECHTER, R ;
MEIRI, I ;
PEARL, J .
ARTIFICIAL INTELLIGENCE, 1991, 49 (1-3) :61-95
[9]
TREE CLUSTERING FOR CONSTRAINT NETWORKS [J].
DECHTER, R ;
PEARL, J .
ARTIFICIAL INTELLIGENCE, 1989, 38 (03) :353-366
[10]
ENHANCEMENT SCHEMES FOR CONSTRAINT PROCESSING - BACKJUMPING, LEARNING, AND CUTSET DECOMPOSITION [J].
DECHTER, R .
ARTIFICIAL INTELLIGENCE, 1990, 41 (03) :273-312