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Ontomorphic Peircean Calculus: A Universal Mathematical Framework for Identity, Logic, and Semantic Computation

Scott, Steven (2025) Ontomorphic Peircean Calculus: A Universal Mathematical Framework for Identity, Logic, and Semantic Computation. [Preprint]

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Abstract

This paper introduces the conceptual foundations of the Ontomorphic Peircean Calculus, a first-order formal system constructed from Charles Sanders Peirce’s triadic logic and recast in categorical, topological, and algebraic terms. Identity, inference, and modality are defined as consequences of recursive morphism closure over a non-metric symbolic manifold. Presence arises from symbolic saturation governed by the compression functional. This system unifies logic, physics, and ontology through symbolic recursion and curvature, replacing metric assumptions with recursive cost topology. All structures—identity, mass, time, causality—emerge from the self-coherence of morphic braids in a purely symbolic substrate, thereby replacing metric foundations with compression-curvature dynamics that computationally bridge the essential logical architecture of the theoretical and practical sciences simultaneously.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Scott, StevenSigniferNoctis@pm.me0009-0007-2466-0854
Keywords: Ontomorphic Peircean Calculus; symbolic recursion; triadic morphism; semantic compression; identity formation; non-metric manifold; Peircean semiotics; formal ontology; recursion theory; philosophy of logic
Subjects: Specific Sciences > Mathematics > Epistemology
Specific Sciences > Mathematics > Foundations
Specific Sciences > Mathematics > Logic
Specific Sciences > Mathematics > Ontology
General Issues > Scientific Metaphysics
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Models and Idealization
General Issues > Philosophers of Science
General Issues > Structure of Theories
Depositing User: Steven Scott
Date Deposited: 11 Jun 2025 14:30
Last Modified: 11 Jun 2025 14:30
Item ID: 25664
Subjects: Specific Sciences > Mathematics > Epistemology
Specific Sciences > Mathematics > Foundations
Specific Sciences > Mathematics > Logic
Specific Sciences > Mathematics > Ontology
General Issues > Scientific Metaphysics
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Models and Idealization
General Issues > Philosophers of Science
General Issues > Structure of Theories
Date: 10 June 2025
URI: https://philsci-archive.pitt.edu/id/eprint/25664

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