QUANT-PHIRFeb 26, 2020

Quantifying daseinisation using Shannon entropy

arXiv:2002.12456v11 citations
AI Analysis

This work addresses a theoretical problem in quantum mechanics and information retrieval, but it appears incremental as it builds on existing topos formalism.

The paper tackled the problem of quantifying daseinisation in quantum mechanics by reformulating it in terms of information retrieval concepts and using Shannon entropy for numerical quantification, though no concrete results or numbers were provided.

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.

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