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 :
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