Emergent Consciousness Simulator
Zenodo (CERN European Organization for Nuclear Research) September 2, 2026 DOI: 10.5281/zenodo.22247831 (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 emerges from complex system-level interactions, and outlines a computational simulator architecture to model this phenomenon using massively parallel computing and self-organizing algorithms. |
Abstract
This paper proposes and outlines the design of an "Emergent Consciousness Simulator," a computational model aimed at simulating the emergent phenomenon of consciousness. The core claim is that consciousness arises from the complex interactions within a system, rather than residing solely in individual components. This simulator will leverage massively parallel computing to model the intricate interplay between neural networks, feedback loops, and other cognitive architectures, utilizing self-organizing algorithms to mimic the spontaneous generation of awareness. The approach moves beyond examining individual neuron activity to investigate the underlying mechanisms of consciousness at a systemic level. The simulator's architecture will be described, focusing on the key components and their interactions. The challenges and potential future directions for this research are also discussed.