Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.19510372 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901982713741312 |
|---|---|
| author | Malicse, Angelito |
| author_facet | Malicse, Angelito |
| contents | <p>Abstract</p> <p>We propose a universal organizing principle for natural systems: imbalance minimization through feedback dynamics. Grounding the framework in the Universal Balance-Feedback Framework (UBFF) and its Four Universal Laws, we define imbalance as a Lyapunov-type functional over system states and derive a general evolution equation applicable across physical, biological, and cognitive domains. We establish formal Lyapunov stability conditions for discrete and continuous systems, extend the formulation to field-theoretic settings, and demonstrate rigorous connections to least-action dynamics, thermodynamic free energy minimization, and the Free Energy Principle. Critically, we differentiate UBFF from Friston's Free Energy Principle by its domain-generality, explicit multi-timescale feedback architecture, and falsifiable cross-domain predictions. We present twelve empirically testable predictions spanning neuroscience, ecology, and condensed matter physics, and identify conditions under which imbalance minimization breaks down, producing oscillation, bifurcation, or chaos. This revised formulation addresses prior criticisms regarding mathematical rigor, novelty, and falsifiability.</p> <p> </p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19510372 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Imbalance Minimization as a Universal Principle: A Unified Balance–Feedback Framework for Physical, Biological, and Cognitive Systems Malicse, Angelito <p>Abstract</p> <p>We propose a universal organizing principle for natural systems: imbalance minimization through feedback dynamics. Grounding the framework in the Universal Balance-Feedback Framework (UBFF) and its Four Universal Laws, we define imbalance as a Lyapunov-type functional over system states and derive a general evolution equation applicable across physical, biological, and cognitive domains. We establish formal Lyapunov stability conditions for discrete and continuous systems, extend the formulation to field-theoretic settings, and demonstrate rigorous connections to least-action dynamics, thermodynamic free energy minimization, and the Free Energy Principle. Critically, we differentiate UBFF from Friston's Free Energy Principle by its domain-generality, explicit multi-timescale feedback architecture, and falsifiable cross-domain predictions. We present twelve empirically testable predictions spanning neuroscience, ecology, and condensed matter physics, and identify conditions under which imbalance minimization breaks down, producing oscillation, bifurcation, or chaos. This revised formulation addresses prior criticisms regarding mathematical rigor, novelty, and falsifiability.</p> <p> </p> <p> </p> |
| title | Imbalance Minimization as a Universal Principle: A Unified Balance–Feedback Framework for Physical, Biological, and Cognitive Systems |
| url | https://doi.org/10.5281/zenodo.19510372 |