利用Shannon熵量化数据化
Quantifying daseinisation using Shannon entropy
摘要：
从更广泛的信息检索角度解释了量子力学的拓扑形式。语境作为其基本组成部分，被视为信息的来源。它们之间的相互作用，称为此在化（daseinisation），用纯逻辑术语来定义，用两种关系来重新表述：排除和排除疑问。然后，扩大这些选项，daseinisation成为一个特性的上下文的接近度，量化它的数值，香农熵。
英文摘要：
Topos formalism for quantum mechanics is interpreted in a broader, information retrieval perspective. Contexts, its basic components, are treated as sources of information. Their interplay, called daseinisation, defined in purely logical terms, is reformulated in terms of two relations: exclusion and preclusion of queries. Then, broadening these options, daseinisation becomes a characteristic of proximity of contexts; to quantify it numerically, Shannon entropy is used.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
