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HIERARCHICAL ARC CONSISTENCY FOR DISJOINT REAL INTERVALS IN constraint LOGIC PROGRAMMING

Computational Intelligence 1992年第4期8卷 601-623页

作者： Sidebottom, Greg Havens, William S. Expert Systems Lab Centre for Systems Science School of Computing Science Simon Fraser University Burnaby British Columbia V5A 1S6 Canada

There have been many proposals for adding sound implementations of numeric processing to Prolog. This paper describes an approach to numeric constraint processing which has been implemented in Echidna, a new constraint logic programming (CLP) language. Echidna uses consistency algorithms which can actively process a wider variety of numeric constraints than most other CLP systems, including constraints containing some common nonlinear functions. A unique feature of Echidna is that it implements domains for real‐valued variables with hierarchical data structures and exploits this structure using a hierarchical arc consistency algorithm specialized for numeric constraints. This gives Echidna two advantages over other systems. First, the union of disjoint intervals can be represented directly. Other approaches require trying each disjoint interval in turn during backtrack search. Second, the hierarchical structure facilitates varying the precision of constraint processing. Consequently, it is possible to implement more effective constraint processing control algorithms which avoid unnecessary detailed domain analysis. These advantages distinguish Echidna from other CLP systems for numeric constraint processing. Copyright © 1992, Wiley Blackwell. All rights reserved

关键词： constraint logic programming constraint‐based reasoning hierarchical arc consistency numeric constraint processing partial arc consis

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