The Geometry of Awareness: Emergent Consciousness via Componental Probability Constraints
Zenodo (CERN European Organization for Nuclear Research) 2026 DOI: 10.5281/zenodo.18117870 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes that consciousness is not a fundamental substance but an emergent phase transition, occurring when a neural system's complexity is subject to a "Geometric Bias Constraint." Reports that numerical simulations show a sudden topological shift from "Passive Noise" to an "Awake State" once component interactions exceed a critical probability threshold, offered as a computable model for the origin of self-awareness. |
Abstract
The ”Hard Problem” of consciousness—how subjective experience arises from physical processes—has long perplexed scientists. Traditional theories, ranging from Integrated InformationTheory (IIT) to Orchestrated Objective Reduction (Orch-OR), often lack a unifying mathematicalframework for the transition from inert matter to aware systems. In this paper, we propose a novelsolution based on Componental Probability Theory. We demonstrate that consciousness is not afundamental substance but an emergent phase transition that occurs when a neural system’s complexityis subjected to a specific ”Geometric Bias Constraint.” Our numerical simulations reveal thatwhen component interactions exceed a critical probability threshold, the system undergoes a suddentopological shift, moving from ”Passive Noise” to an ”Awake State.” This provides a computablemodel for the origin of self-awareness.