Title :
An algorithm based on resolution for the satisfiability problem
Author :
Xu, Youjun ; Ouyang, Dantong ; Ye, Yuxin
Abstract :
The satisfiability problem is the core problem in artificial intelligence. The algorithm directional resolution (DR) is a well known method based on resolution for satisfiability problem. But the number of clauses has great impact on the efficiency of the method. In this paper, an algorithm SRDR is proposed to solve the problem. SRDR is based on algorithm DR and splitting rule. By using splitting rule, the number of clauses can be reduced obviously. Furthermore, the strategy MO is designed for SRDR. With the strategy, we can get a better order of variables and the efficiency of SRDR is improved. The experimental data shows that SRDR is more efficient that DR.
Keywords :
artificial intelligence; computability; algorithm directional resolution; artificial intelligence; satisfiability problem; splitting rule; Appropriate technology; Artificial intelligence; Computer science; Computer science education; Computer vision; Databases; Educational institutions; Educational technology; Knowledge engineering; Laboratories; SRDR; directional resolution; satisfiability problem; splitting rule; strategy MO;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486890