JOURNAL ARTICLE

Hierarchical arc consistency: exploiting structured domains in constraint satisfaction problems

Alan K. MackworthJan A. MulderWilliam S. Havens

Year: 1985 Journal:   Computational Intelligence Vol: 1 (1)Pages: 118-126   Publisher: Wiley

Abstract

Constraint satisfaction problems can be solved by network consistency algorithms that eliminate local inconsistencies before constructing global solutions. We describe a new algorithm that is useful when the variable domains can be structured hierarchically into recursive subsets with common properties and common relationships to subsets of the domain values for related variables. The algorithm, HAC, uses a technique known as hierarchical arc consistency. Its performance is analyzed theoretically and the conditions under which it is an improvement are outlined. The use of HAC in a program for understanding sketch maps, Mapsee3, is briefly discussed and experimental results consistent with the theory are reported.

Keywords:
Local consistency Constraint satisfaction problem Consistency (knowledge bases) Constraint (computer-aided design) Computer science Constraint satisfaction Sketch Domain (mathematical analysis) Variable (mathematics) Algorithm Theoretical computer science Mathematics Artificial intelligence

Metrics

63
Cited By
4.26
FWCI (Field Weighted Citation Impact)
11
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Constraint Satisfaction and Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
AI-based Problem Solving and Planning
Physical Sciences →  Computer Science →  Artificial Intelligence

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