JOURNAL ARTICLE

Distributed constraint satisfaction for formalizing distributed problem solving

Abstract

Viewing cooperative distributed problem solving (CDPS) as distributed constraint satisfaction provides a useful formalism for characterizing CDPS techniques. This formalism and algorithms for solving distributed constraint satisfaction problems (DCSPs) are compared. A technique called asynchronous backtracking that allows agents to act asynchronously and concurrently, in contrast to the traditional sequential backtracking techniques used in constraint satisfaction problems, is presented. Experimental results show that solving DCSPs in a distributed fashion is worthwhile when the problems solved by individual agents are loosely coupled.< >

Keywords:
Backtracking Constraint satisfaction problem Constraint learning Formalism (music) Constraint satisfaction Computer science Asynchronous communication Distributed algorithm Constraint (computer-aided design) Theoretical computer science Local consistency Distributed computing Mathematical optimization Algorithm Artificial intelligence Mathematics

Metrics

333
Cited By
17.04
FWCI (Field Weighted Citation Impact)
17
Refs
0.99
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
Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
AI-based Problem Solving and Planning
Physical Sciences →  Computer Science →  Artificial Intelligence

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