Self-Organizing Rewriting Method for Ontological Systems via Contradiction-Induced Tokens and Semantic Attractors

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Authors: Satoshi Kawauchi
Cited by: 0

Abstract

This paper proposes a novel framework for rewriting the fundamental structure of an ontological system by inducing controlled contradictions. By injecting a contradiction-inducing token embedded with a semantic attractor into spacetime, the system is forced to resolve logical inconsistencies through self-organized restructuring. Unlike external intervention methods, this approach leverages intrinsic system dynamics to achieve stable and irreversible transformation. The semantic attractor guides convergence toward a desired equilibrium while preventing chaotic divergence. Additional implementations, including parallel-universe validation and autonomous self-termination mechanisms, ensure safety and controllability. This method enables large-scale structural transformation with minimal input, offering a new paradigm for modifying complex systems beyond conventional physical and computational limits.

Fields of Study & Subjects

Complex Systems and Dynamics Diverse Interdisciplinary Research Studies Scientific Research and Philosophical Inquiry

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Thesis