Cognitive Phase Transitions in Subjective Physics: Modeling Synchronization and Order Parameters with Reproducible Simulations (1.0)

Abstract

This article investigates cognitive phase transitions within the framework of Subjective Physics, providing direct computational evidence of a critical transition in an adaptive network of N = 40 cognitive agents. We explicitly distinguish between the global order parameter |⟨ψ⟩| (Kuramoto mean-field amplitude) and the Mean Pairwise Coherence (MPC), a measure of local synchronization. A clear non-monotonic transition was detected at control parameter rc = 1.534, characterized by a sharp change (|∆MPC| = 0.133) indicating a structural reorganization of the system’s synchronized clusters. Following a transient period of desynchronization (MPC minimum ∼ 0.42), the system stabilizes into a high-coherence phase (post-transition MPC = 0.992 ± 0.007). The results demonstrate a phenomenology analogous to second-order phase transitions in physical systems, confirming key hypotheses of Subjective Physics regarding the reorganization of observer states.

Reference

Khomyakov, V. (2025). Cognitive Phase Transitions in Subjective Physics: Modeling Synchronization and Order Parameters with Reproducible Simulations (1.0). Zenodo. https://doi.org/10.5281/zenodo.17011035

Additional information

This release contains:

• cognitive_phase_transitions.pdf — full article (v1.0)

Notes

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