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