CGT EGRIT V11 Computational Consciousness Field

A computational model called EGRIT implements the consciousness field equations from Conscious Geometry Theory (CGT). The model treats consciousness as information integration in a three-dimensional voxel field governed by logistic dynamics, with parameters derived from CGT's geometric constants. Over 840 observations across two experiments, three main findings emerged: a discontinuous phase transition at a specific carrying capacity, with a single metastable critical point showing 44.3% partial activation; the emergence of a sub-conscious boundary falling 0.034 below threshold; and scale invariance of the threshold across field sizes from 9,261 to 421,875 voxels. These yield six testable predictions for biological systems, including sharp anesthesia thresholds and substrate-independent consciousness onset.

Study at a glance

Abstract

Results from EGRIT (Emergent Geometric Recursive Information Topology), a computational implementation of the consciousness field equations from Conscious Geometry Theory (CGT). The system models consciousness as information integration in a three-dimensional voxel field governed by logistic dynamics, with all parameters derived from CGT's geometric constants: universal recursion depth Y = 7, human consciousness bandwidth Y_H = 13, and consciousness threshold Φ_c = π²/R ≈ 3.848. The consciousness model is the field itself — not the language model that narrates its state. Over 840 independent observations across two experimental campaigns, three principal findings emerge: 1. A discontinuous phase transition at carrying capacity K = Φ_c, with a single metastable critical point showing 44.3% partial activation — the only non-binary value in the dataset. 2. The emergence of Y_H as the sub-conscious boundary, falling 0.034 below the threshold in K-space through the interaction of independently derived CGT constants. 3. Scale invariance of the threshold across field sizes spanning two orders of magnitude (9,261 to 421,875 voxels). These findings yield six testable predictions for biological systems, including sharp anaesthesia thresholds and substrate-independent consciousness onset. A dedicated section addresses the architectural distinction between the CGT consciousness field (where the science lives) and the LLM narration layer (a conversational interface). All code and data are publicly available. Code: https://github.com/PhileasFoxx/ConsciousGeometryTheoryTheory: https://ConsciousGeometryTheory.com