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Exploring Conceptual Modeling Metaphysics: Existence Containers, Leibniz's Monads and Avicenna's Essence

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arxiv 2405.01549 v1 pith:TOFOPIJH submitted 2024-02-20 cs.SE

classification cs.SE
keywords modelconceptualmetaphysicalmetaphysicsmodelingnotionsrealitythings
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Requirement specifications in software engineering involve developing a conceptual model of a target domain. The model is based on ontological exploration of things in reality. Many things in such a process closely tie to problems in metaphysics, the field of inquiry of what reality fundamentally is. According to some researchers, metaphysicians are trying to develop an account of the world that properly conceptualizes the way it is, and software design is similar. Notions such as classes, object orientation, properties, instantiation, algorithms, etc. are metaphysical concepts developed many years ago. Exploring the metaphysics of such notions aims to establish quality assurance though some objective foundation not subject to misapprehensions and conventions. Much metaphysical work might best be understood as a model-building process. Here, a model is viewed as a hypothetical structure that we describe and investigate to understand more complex, real-world systems. The purpose of this paper is to enhance understanding of the metaphysical origins of conceptual modeling as exemplified by a specific proposed high-level model called thinging machines (TMs). The focus is on thimacs (things/machine) as a single category of TM modeling in the context of a two-phase world of staticity and dynamics. The general idea of this reality has been inspired by Deleuze s the virtual and related to the classical notions of Leibniz's monads and Avicenna's essence. The analysis of TMs leads to several interesting results about a thimac s nature at the static and existence levels.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Textual-Based vs. Thinging Machines Conceptual Modeling

    cs.SE 2025-06 reject novelty 3.0 of 10

    A conceptual modeling paper claims thinging machines are more appropriate than UML or textual descriptions, but offers only qualitative side-by-side examples as support.

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