DocumentCode
3015015
Title
Theorem proving in propositional logic on vector computers using a generalized Davis-Putman procedure
Author
Chen, Wen-Tsuen ; Fang, Ming-Yi
Author_Institution
Inst. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
1990
fDate
12-16 Nov 1990
Firstpage
658
Lastpage
665
Abstract
The Davis-Putman procedure (DPP) is an efficient method for solving the theorem proving problem in propositional logic. The authors present an effective technique for vectorizing the DPP. To speed up the execution of DPP, the rules used by the procedure are first generalized by considering more than one literal at a time. Then vectorized algorithms based on the generalized rules are proposed. Experiments are conducted on vector computers. The results show that the vectorized version of the Davis-Putnam procedure is effective in solving a variety of instances of the theorem proving problem in propositional logic. The vectorized version of the DPP was effective in cutting down the search space and thus substantially improving the search efficiency
Keywords
parallel processing; pipeline processing; search problems; theorem proving; generalized Davis-Putman procedure; generalized rules; propositional logic; search efficiency; search space; theorem proving; vector computers; vectorized algorithms; Artificial intelligence; Boolean functions; Computer aided instruction; Computer science; Concurrent computing; Logic; Mathematics; NP-complete problem; Parallel processing; Pipelines;
fLanguage
English
Publisher
ieee
Conference_Titel
Supercomputing '90., Proceedings of
Conference_Location
New York, NY
Print_ISBN
0-8186-2056-0
Type
conf
DOI
10.1109/SUPERC.1990.130083
Filename
130083
Link To Document