The Negentropy Protocol: A Convergence-Driven Framework for Multi-Agent Intelligence (Genesis Engineering Edition)
Abstract
This paper proposes a novel cognitive architecture for Artificial General Intelligence (AGI) based on the principle of Negentropy (Reverse Compression). By integrating the 64-hexagram matrix from the I Ching with a competitive Alpha vs. Omega adversarial sandbox, the protocol aims to resolve the inherent entropy increase in large language models. It defines a systematic path from informational chaos to singular, coherent decision-making through 35 distinct emotional-cognitive agents.
Fields of Study & Subjects
Psychiatry
Mental Health
Neuroscience
Artificial Intelligence Applications
Cognitive Computing and Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026
- Language
- EN
- Document type
- Preprint