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April 7, 20260 citationsOpen Access

Structural Differentiation Information (SDI) v1.4: A Minimal and Falsifiable Theory of Information as Stabilized Structure

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KOKoji Okino

Key Points

  • To propose a minimal and falsifiable theory of information as stabilized structural difference, differing from traditional views.
  • Developed a theoretical framework based on a single defining relation for information.
  • Derive dynamical evolution equations based on structural differentiation.
  • Assess cross-domain applicability in artificial intelligence, biological systems, and physical processes.
  • Information arises from the accumulation of irreversible structural differences.
  • Observable persistence connects structural differentiation to measurable information.
  • Time can be understood as an order of structural accumulation, consistent with physical laws.

Abstract

This work presents Structural Differentiation Information (SDI) v1. 4, a minimal and falsifiable framework in which information is defined as stabilized structural difference. Unlike conventional approaches, SDI does not treat information as stored data, symbolic representation, or probabilistic encoding. Instead, information is identified as the irreversible fixation of structural differentiation. The framework is built on a single defining relation: Iₛtruct (D) = -log (1 - ηD), 0 ≤ ηD 0 The framework provides a unified and directly testable description of information across domains including artificial intelligence, biological systems, and physical processes such as decoherence. SDI is minimal, cross-domain applicable, and constructed to be explicitly falsifiable through observable persistence and structural dynamics. Key statement: Information is not something that exists. It is something that remains.

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Cite This Study

Koji Okino (2026) studied this question.

synapsesocial.com/papers/69d49fe5b33cc4c35a2285e0https://doi.org/10.5281/zenodo.19428582
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