Bimetric Framework for Computational Consciousness (ZF/AD)
Zenodo (CERN European Organization for Nuclear Research) April 20, 2026 DOI: 10.5281/zenodo.19660147 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractA new conceptual and mathematical framework, ZF/AD, is proposed to describe how stable structures emerge in open, non-stationary, and partially unpredictable systems. Instead of treating structure and dynamics as separate, the model postulates their necessary entanglement as a condition for reality. This non-separability is formalized through a viability condition V, used as an operational criterion for emergence, persistence, and dissolution. Stability is described as a dynamic equilibrium of enduring regimes, not a fixed state. The framework provides a formal basis for studying computational consciousness as an emergent property and for applications in artificial intelligence and complex systems.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Verifiable secret sharing Quantum entanglement Consciousness Computational model Stability learning theory |
| Key finding | Proposes that structure and dynamics are necessarily entangled, formalized through a viability condition V, as a condition for the existence of reality. |
Abstract
This work introduces a conceptual and mathematical framework, ZF/AD, which addresses a major challenge in contemporary science: the description of the emergence of stable structures within open, non-stationary, and partially unpredictable systems. The originality of the ZF/AD model lies in a shift in perspective: instead of treating structure and dynamics as separable, it postulates their necessary entanglement as a condition for the existence of reality. This non-separability is formalized through a viability condition V, used as an operational criterion for emergence, persistence, and dissolution. The ZF/AD framework describes a structural and dynamic co-evolution within an adaptive elastic space: structural constraints are modulated under the influence of becoming, and dynamics are continuously regulated by emergent constraints. Stability does not appear as a fixed state, but as a dynamic equilibrium of enduring regimes. The repository includes the manuscript (axioms, definitions, entanglement operator, definition of V), a reproducible simplified numerical model with Python code, simulation data, and automatically generated figures. This framework provides a formal and verifiable basis for studying computational consciousness as an emergent property and for exploring its applications in artificial intelligence, computational cognition, and complex systems.