onyxrev/the-minary-primitive-of-computational-autopoiesis: 1.0.0
Abstract
This simulation implements a discrete-time stochastic system where multiple "perspectives" evaluate "semantic dimensions" and form consensus through linear superposition. The key property: the system learns from itself, not from external signals. Input signals perturb the system but mathematically cancel out of the learning dynamics, creating a self-referential feedback loop.
Fields of Study & Subjects
Neural Networks and Reservoir Computing
stochastic dynamics and bifurcation
Embodied and Extended Cognition
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026
- Language
- EN
- Document type
- Book