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题名:
reducing symmetries to generate easier sat instances
作者: Zhang Jian ; Zhuo Huang
关键词: Finite model searching ; SAT ; symmetries ; the least number heuristic
刊名: Electronic Notes in Theoretical Computer Science
发表日期: 2005
卷: 125, 期:3, 页:149-164
收录类别: ei
部门归属: 计算机科学国家重点实验室
摘要: Finding countermodels is an effective way of disproving false conjectures. In first-order predicate logic, model finding is an undecidable problem. But if a finite model exists, it can be found by exhaustive search. The finite model generation problem in the first-order logic can also be translated to the satisfiability problem in the propositional logic. But a direct translation may not be very efficient. This paper discusses how to take the symmetries into account so as to make the resulting problem easier. A static method for adding constraints is presented, which can be thought of as an approximation of the least number heuristic (LNH). Also described is a dynamic method, which asks a model searcher like SEM to generate a set of partial models, and then gives each partial model to a propositional prover. The two methods are analyzed, and compared with each other.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.iscas.ac.cn/handle/311060/3130
Appears in Collections:计算机科学国家重点实验室 _期刊论文

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Recommended Citation:
Zhang Jian,Zhuo Huang. reducing symmetries to generate easier sat instances[J]. Electronic Notes in Theoretical Computer Science,2005-01-01,125(3):149-164.
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