Emergent Consciousness: A Computational Model
Zenodo (CERN European Organization for Nuclear Research) September 5, 2026 DOI: 10.5281/zenodo.22315881 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes that a computational model of a complex network with nonlinear dynamics, self-organization, feedback, and information integration may simulate the emergence of consciousness, and that evidence of emergence can be assessed through integrated information, sustained activity, and sensitivity to initial conditions. |
Abstract
This paper proposes a computational model designed to simulate the emergent phenomenon of consciousness. The core of the model lies in the construction of a complex network, governed by nonlinear dynamics and exhibiting self-organization, feedback mechanisms, and information integration. The model utilizes a massively parallel computing architecture to explore the potential for subjective experience to arise spontaneously from the interactions within this network. We aim to move beyond simply correlating neural activity with reported conscious states and directly investigate the underlying mechanisms that might give rise to consciousness. The model's output will be analyzed for evidence of "emergence," defined as the appearance of novel properties not present in the individual components of the system. Key metrics for assessing emergence will include the presence of integrated information, sustained patterns of activity, and sensitivity to initial conditions. The model represents a significant step toward a more mechanistic understanding of consciousness.