命题逻辑中可靠性管理的代数方法

Antonio Hernando, E. Roanes-Lozano, J. Montero
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引用次数: 1

摘要

本文的目的是阐述一个原始的代数模型来管理具有不同程度不可靠的信息。该模型被认为是经典命题逻辑的扩展,其中每个命题公式都与一个不可靠值相关联,并导致一种与概率逻辑完全不同的方法。在我们的模型中,重言推理和一组公式的一致性的逻辑概念被重新表述为可预见的不可靠性值。本文的核心是发现与重言式结果相关的这些不可靠值与多项式理想的约化格罗布纳基的计算之间的显著关系。通过这种方式,我们将这些不可靠性值分配给信息和推理的方法可以直接转换为代数项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An algebraic method for managing reliability in propositional logics
The aim of this paper is to expound an original algebraic model for managing information with different degrees of unreliability. This model is conceived as an extension of classical propositional logics in which each propositional formula is associated with an unreliability value, and results in an approach quite different from that of probabilistic logics. In our model, the logical notions of tautological consequence and consistency of a set of formulae are reformulated on behalf of the foreseen unreliability values. The core of the paper is related to the discovery of a remarkable relation between these unreliability values associated to tautological consequence and the calculation of the reduced Groebner basis of a polynomial ideal. In this way, our method for assigning these unreliability values to information and reasoning turns out to have a straightforward translation into algebraic terms.
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