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Model Generation with Boolean Constraints
Author(s) -
Miyuki Koshimura,
Hiroshi Fujita,
Ryuzo Hasegawa
Publication year - 2001
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-42957-3
DOI - 10.1007/3-540-45653-8_20
Subject(s) - computer science , mathematical proof , simple (philosophy) , constraint logic programming , constraint (computer aided design) , theoretical computer science , boolean expression , boolean data type , constraint satisfaction , algorithm , boolean function , artificial intelligence , mathematics , probabilistic logic , philosophy , geometry , epistemology
We present a simple method for eliminating redundant searches in model generation. The method employs Boolean Constraints which are conjunctions of ground instances of clauses having participated in proofs. Boolean Constraints work as sets of lemmas with which duplicate subproofs and irrelevant model extensions can be eliminated. The method has been tentatively implemented on a constraint logic programming system. We evaluated effects of the method by proving some typical problems taken from the CASC-JS system competition.

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