Implementing Modal Tableaux Using Sentential Decision Diagrams

AI 2015: ADVANCES IN ARTIFICIAL INTELLIGENCE(2015)

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摘要
A Sentential Decision Diagram (SDD) is a novel representation of a boolean function which contains a Binary Decision Diagram (BDD) as a subclass. Previous research suggests that BDDs are effective in implementing tableaux-based automated theorem provers. We investigate whether SDDs can offer improved efficiency when used in the same capacity. Preliminarily, we found that SDDs compile faster than BDDs only on large CNF formulae. In general, we found the BDD-based modal theorem prover still outperforms our SDD-based modal theorem prover. However, the SDD-based approach excels over the BDD-based approach in a select subset of benchmarks that have large sizes and modalities that are less nested or fewer in number.
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关键词
Modal Tableaux, Modal Theorem Proving, Binary Decision Diagrams (BDDs), Initial Saturation Phase, Decomposable Negation Normal Form
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