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Multiagent SAT (MASSAT): Autonomous Pattern Search in Constrained Domains

  • Xiaolong Jin
  • Jiming Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

Abstract

In this paper, we present an autonomous pattern search approach to solving Satisfiability Problems (SATs). Our approach is essentially a multiagent system. To solve a SAT problem, we first divide variables into groups, and represent each variable group with an agent. Then, we randomly place each agent onto a position in the correspoding local space which is composed of the domains of the variables that are represented by this agent. Thereafter, all agents will autonomously make search decisions guided by some reactive rules in their local spaces until a special pattern (i.e., solution) is found or a time step threshold is reached. Experimental results on some benchmark SAT test-sets have shown that by employing the MASSAT approach, we can obtain performances comparable to those of other popular algorithms.

Keywords

Autonomous Pattern Search Satisfiability Problem (SAT) Multiagent System MASSAT 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Xiaolong Jin
    • 1
  • Jiming Liu
    • 1
  1. 1.Department of Computer ScienceHong Kong Baptist UniversityHong Kong

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