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March 10, 20260 citationsOpen Access

The Paton System: A Unified Architecture of Admissibility and Continuation

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APAndrew John Paton

Key Points

  • The research aims to establish a unified framework that clarifies structural requirements for system membership and continuation.
  • Introduced the Paton System as a structural architecture with multiple tiers.
  • Outlined a framework that begins with availability and distinction, progressing through various layers.
  • Defined rules governing system membership, admissibility, and accessibility.
  • Established a central rule linking system states to admissibility and reachability.
  • Clarified how persistence and collapse are contingent on compatibility of constraints rather than domain specifics.
  • Demonstrated the applicability of the framework across various disciplines including mathematics and biology.

Abstract

This paper presents the Paton System as a unified structural architecture governing system membership, persistence, and continuation prior to domain-specific modelling. Most scientific frameworks implicitly assume valid system states before equations, simulations, or optimisation procedures are applied. The Paton System instead formalises the minimal structural conditions required for system membership. The framework is organised into layered tiers beginning with availability, distinction, and constrained relation, progressing through an admissibility gate and datum interface, and extending into generative machinery, structural laws, and cross-domain instantiations. The central rule states that a state belongs to a system if and only if it is both admissible and reachable: it must satisfy governing constraints and lie on at least one admissible trajectory from a permitted origin. This architecture clarifies how persistence and collapse arise as consequences of constraint compatibility rather than domain-specific mechanisms. The Paton System therefore functions as a domain-neutral pre-theoretical framework applicable across mathematics, physics, computation, biological systems, and organisational dynamics.

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Cite This Study

Andrew John Paton (2026) studied this question.

synapsesocial.com/papers/69af95a470916d39fea4d7aehttps://doi.org/10.5281/zenodo.18912112
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