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Status: Unchecked ×Keyword: GSAT ×Clear all

2 claims from 1 paper

1. Computer Science › Constraint Satisfaction and Optimization

   A new method for solving hard satisfiability problems

   Selman, Levesque and Mitchell · 1992

   The paper introduces GSAT, a greedy local search procedure that solves hard satisfiability problems, random and structured, much larger than traditional methods such as Davis-Putnam can handle.

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   1. Unchecked“Our experiments show that this procedure can be used to solve hard, randomly generated problems that are an order of magnitude larger than those that can be handled by more traditional approaches such as the Davis-Putnam procedure or resolution.”
   2. UncheckedGSAT's good performance suggests some reasoning tasks usually treated as theorem-proving might be better recast as model-finding tasks.“Its good performance suggests that it may be advantageous to reformulate reasoning tasks that have traditionally been viewed as theorem-proving problems as model-finding tasks.”