Improving tableau deductions in multiple-valued logics

Neil V. Murray, Erik Rosenthal
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引用次数: 16

Abstract

Path dissolution is an efficient generalization of the method of analytic tableaux. Both methods feature (in the propositional case) strong completeness, the lack of reliance upon conjunctive normal form (CNF), and the ability to produce a list of essential models (satisfying interpretations) of a formula. Dissolution can speed up every step in a tableau deduction in classical logic. The authors consider means for adapting both techniques to multiple-valued logics, and show that the speed-up theorem applies in this more general setting. These results are pertinent for modeling uncertainty and commonsense reasoning.<>
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改进多值逻辑中的表推理
路径分解是解析表法的一种有效推广。这两种方法的特点(在命题的情况下)强完备性,缺乏对合取范式(CNF)的依赖,以及产生公式的基本模型(令人满意的解释)列表的能力。分解可以加快经典逻辑中场景演绎的每一步。作者考虑了使这两种技术适应于多值逻辑的方法,并证明了加速定理适用于这种更一般的设置。这些结果与建模不确定性和常识性推理有关。
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