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Toward an Epistemic-Logical Theory of Categorization

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arxiv 1707.08743 v1 pith:2JOVDWTH submitted 2017-07-27 cs.LO cs.DB

classification cs.LOcs.DB
keywords categorizationtheoryagentsdecision-makingdomainlogicobjectsrepresenting
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Categorization systems are widely studied in psychology, sociology, and organization theory as information-structuring devices which are critical to decision-making processes. In the present paper, we introduce a sound and complete epistemic logic of categories and agents' categorical perception. The Kripke-style semantics of this logic is given in terms of data structures based on two domains: one domain representing objects (e.g. market products) and one domain representing the features of the objects which are relevant to the agents' decision-making. We use this framework to discuss and propose logic-based formalizations of some core concepts from psychological, sociological, and organizational research in categorization theory.

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  1. Fuzzy Lattice-based Description Logic

    cs.LO 2025-06 conditional novelty 6.0 of 10

    LE-FALC is a fuzzy lattice-based description logic with a sound and complete polynomial-time tableaux algorithm for ABox consistency, and an exponential-time procedure for acyclic TBoxes via unraveling.

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