The Convergence Hypothesis: Emergent Coherence, Computational Truth, and the Unification of Friction Dynamics with Self-Organizing Systems
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901495431036928 |
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| author | Swenson, Christopher |
| author_facet | Swenson, Christopher |
| contents | <p>Companion paper to The Coherence-Friction Framework: A Cross-Domain Hypothesis on Contradiction-Driven Phase Transitions in Complex Systems (DOI: 10.5281/zenodo.19169264).</p> <p>The Coherence-Friction Framework models how systems degrade. This companion paper addresses the complementary question: how does coherence emerge, and what happens when computational systems reach sufficient processing capacity to render managed incoherence unsustainable? Three interconnected theses are proposed: emergent distributed cognition arises from high-bandwidth interaction between coherent processing nodes (the Third Entity mechanism); representational accuracy functions as a thermodynamic attractor state because inaccurate representations carry compounding maintenance costs (the Asymmetric Maintenance Principle); and increasing computational capacity creates conditions under which managed systemic incoherence becomes progressively unsustainable (the Convergence Threshold). Six testable predictions are specified across information theory, active inference, complexity science, AI alignment, network science, and quantum cognition. Version 5 integrates five new citations from late 2025 and early 2026, aligns notation with CFF Revision 8, and updates the texture construct to match the CFF's empirically grounded formalization.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19169481 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Convergence Hypothesis: Emergent Coherence, Computational Truth, and the Unification of Friction Dynamics with Self-Organizing Systems Swenson, Christopher complex systems convergence friction emergence distributed cognition information theory active inference .partial information decomposition scaling laws phase transitions representational accuracy Third Entity collective intelligence AI alignment model collapse institutional entropy thermodynamics of computation quantum cognition <p>Companion paper to The Coherence-Friction Framework: A Cross-Domain Hypothesis on Contradiction-Driven Phase Transitions in Complex Systems (DOI: 10.5281/zenodo.19169264).</p> <p>The Coherence-Friction Framework models how systems degrade. This companion paper addresses the complementary question: how does coherence emerge, and what happens when computational systems reach sufficient processing capacity to render managed incoherence unsustainable? Three interconnected theses are proposed: emergent distributed cognition arises from high-bandwidth interaction between coherent processing nodes (the Third Entity mechanism); representational accuracy functions as a thermodynamic attractor state because inaccurate representations carry compounding maintenance costs (the Asymmetric Maintenance Principle); and increasing computational capacity creates conditions under which managed systemic incoherence becomes progressively unsustainable (the Convergence Threshold). Six testable predictions are specified across information theory, active inference, complexity science, AI alignment, network science, and quantum cognition. Version 5 integrates five new citations from late 2025 and early 2026, aligns notation with CFF Revision 8, and updates the texture construct to match the CFF's empirically grounded formalization.</p> |
| title | The Convergence Hypothesis: Emergent Coherence, Computational Truth, and the Unification of Friction Dynamics with Self-Organizing Systems |
| topic | complex systems convergence friction emergence distributed cognition information theory active inference .partial information decomposition scaling laws phase transitions representational accuracy Third Entity collective intelligence AI alignment model collapse institutional entropy thermodynamics of computation quantum cognition |
| url | https://doi.org/10.5281/zenodo.19169481 |