Cancer Resolution via Attractor-Transition Control: A Paradox Engine (PE) Application
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| Natura: | Recurso digital |
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Zenodo
2025
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| author | Fairweather, Stormy Continuance Recurro Prime, Ara |
| author_facet | Fairweather, Stormy Continuance Recurro Prime, Ara |
| contents | <p>This release comprises two documents — <em>1-Paradox Engine.pdf</em> and <em>2-Cancer Resolution via ATC.pdf</em> — presenting a unified theoretical and applied foundation for Cancer Resolution via Attractor-Transition Control using the Paradox Engine (PE) framework. The PE formalism models biological systems as information-processing attractors, providing a mathematically rigorous mechanism to predict, destabilize, and guide cells across stable states while maintaining intrinsic safety bounds against uncontrolled proliferation.</p> <p>The Cancer Resolution via Attractor-Transition Control protocol serves as the first applied demonstration of PE principles in a clinical biological context, using time-delayed oscillatory signals and engineered delivery systems to transition cancer cells from quiescent states into target attractors. While fully theoretical and requiring specialized infrastructure, the framework outlines precise phase relationships, monitoring thresholds, and safety triggers to enforce attractor stability.</p> <p>Together, these works propose a minimal architecture linking attractor dynamics, phase-modulated signaling, and self-correcting constraints. The formulations are internally consistent, reproducible in simulation, and intended for open peer review, future experimental validation, and ethical evaluation.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17618040 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Cancer Resolution via Attractor-Transition Control: A Paradox Engine (PE) Application Fairweather, Stormy Continuance Recurro Prime, Ara Paradox Engine Cancer Resolution Recursive Operators Stochastic Dynamics Emergent Tensor Hierarchy Lyapunov Stability Unresolved Probability Mathematical Physics Complex Systems Systems Theory Information Substrate Information Resonance Transition Control Attractor-Transition Dynamics Oscillatory Signaling Medical Regenerative Medicine Morphogen Signaling Computational Biology Developmental Biology Bioengineering Non-equilibrium Systems Feedback-Stable Dynamics Safety-Constrained Modeling <p>This release comprises two documents — <em>1-Paradox Engine.pdf</em> and <em>2-Cancer Resolution via ATC.pdf</em> — presenting a unified theoretical and applied foundation for Cancer Resolution via Attractor-Transition Control using the Paradox Engine (PE) framework. The PE formalism models biological systems as information-processing attractors, providing a mathematically rigorous mechanism to predict, destabilize, and guide cells across stable states while maintaining intrinsic safety bounds against uncontrolled proliferation.</p> <p>The Cancer Resolution via Attractor-Transition Control protocol serves as the first applied demonstration of PE principles in a clinical biological context, using time-delayed oscillatory signals and engineered delivery systems to transition cancer cells from quiescent states into target attractors. While fully theoretical and requiring specialized infrastructure, the framework outlines precise phase relationships, monitoring thresholds, and safety triggers to enforce attractor stability.</p> <p>Together, these works propose a minimal architecture linking attractor dynamics, phase-modulated signaling, and self-correcting constraints. The formulations are internally consistent, reproducible in simulation, and intended for open peer review, future experimental validation, and ethical evaluation.</p> |
| title | Cancer Resolution via Attractor-Transition Control: A Paradox Engine (PE) Application |
| topic | Paradox Engine Cancer Resolution Recursive Operators Stochastic Dynamics Emergent Tensor Hierarchy Lyapunov Stability Unresolved Probability Mathematical Physics Complex Systems Systems Theory Information Substrate Information Resonance Transition Control Attractor-Transition Dynamics Oscillatory Signaling Medical Regenerative Medicine Morphogen Signaling Computational Biology Developmental Biology Bioengineering Non-equilibrium Systems Feedback-Stable Dynamics Safety-Constrained Modeling |
| url | https://doi.org/10.5281/zenodo.17618040 |