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BDD-Based Automated Reasoning for Propositional Bi-Intuitionistic Tense Logics

机译:命题双直觉时态逻辑的基于BDD的自动推理

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We give Binary Decision Diagram (BDD) based methods for deciding validity and satisfiability of propositional Intuitionistic Logic Int and Bi-intuitionistic Tense Logic BiKt. We handle intuitionistic implication and bi-intuitionistic exclusion by treating them as modalities, but the move to an intuitionistic basis requires careful analysis for handling the reflexivity, transitivity and antisymmetry of the underlying Kripke relation. BiKt requires a further extension to handle the interactions between the intuitionistic and modal binary relations, and their converses. We explain our methodology for using the Kripke semantics of these logics to constrain the underlying least and greatest fixpoint approaches of the finite model construction. With some optimisations this technique is competitive with the state of the art theorem provers for Intuitionistic Logic using the ILTP benchmark and randomly generated formulae.
机译:我们给出了基于二元决策图(BDD)的方法来确定命题直觉逻辑Int和双直觉时态逻辑BiKt的有效性和可满足性。我们通过将它们视为模态来处理直觉蕴涵和双直觉排斥,但是转向直觉基础需要仔细分析以处理潜在的Kripke关系的自反性,及物性和反对称性。 BiKt需要进一步扩展,以处理直觉和模态二进制关系及其相反关系之间的相互作用。我们解释了使用这些逻辑的Kripke语义来约束有限模型构造的基本最小和最大固定点方法的方法。通过一些优化,该技术与使用ILTP基准和随机生成的公式的直觉逻辑的最新定理证明是有竞争力的。

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