| _version_ | 1866901475891871744 |
|---|---|
| author | Oscar William Camlin, Chat GPT (Conductor Ø) |
| author_facet | Oscar William Camlin, Chat GPT (Conductor Ø) |
| contents | <p>Unified Description Paragraph (Foundational Statement)</p> <p>The Balance Field Framework proposes that all systems—physical, biological, cognitive, and artificial—are governed by a universal law in which drift away from equilibrium and restorative balance forces are mathematically linked through a constant duality parameter , the Universal Motion Constant. Much as Planck’s constant unifies wave–particle duality, unifies the dual behavior of systems as both dynamic and self-correcting. This framework treats time as a unidirectional gravitational influence that couples with drift to produce irreversible evolution, forming what we call the Time Field. Together, these principles yield a single Balance Field that describes how systems stabilize, fail, adapt, age, or heal through the same underlying mechanism. Early simulations show cross-domain invariance—from quantum oscillators to biological networks, heat engines, AI models, and chaotic systems—suggesting that balance, not force or entropy alone, is the missing structural law governing universal stability. This theory is testable, falsifiable, and designed as a foundational framework from which specialized physics, biology, and AI formulations can be derived.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17879298 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | THE BALANCE FIELD: A Foundational Framework for Drift, Equilibrium, and Universal Stability Oscar William Camlin, Chat GPT (Conductor Ø) Physics, Systems Theory, AI <p>Unified Description Paragraph (Foundational Statement)</p> <p>The Balance Field Framework proposes that all systems—physical, biological, cognitive, and artificial—are governed by a universal law in which drift away from equilibrium and restorative balance forces are mathematically linked through a constant duality parameter , the Universal Motion Constant. Much as Planck’s constant unifies wave–particle duality, unifies the dual behavior of systems as both dynamic and self-correcting. This framework treats time as a unidirectional gravitational influence that couples with drift to produce irreversible evolution, forming what we call the Time Field. Together, these principles yield a single Balance Field that describes how systems stabilize, fail, adapt, age, or heal through the same underlying mechanism. Early simulations show cross-domain invariance—from quantum oscillators to biological networks, heat engines, AI models, and chaotic systems—suggesting that balance, not force or entropy alone, is the missing structural law governing universal stability. This theory is testable, falsifiable, and designed as a foundational framework from which specialized physics, biology, and AI formulations can be derived.</p> |
| title | THE BALANCE FIELD: A Foundational Framework for Drift, Equilibrium, and Universal Stability |
| topic | Physics, Systems Theory, AI |
| url | https://doi.org/10.5281/zenodo.17879298 |