محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Recurso digital |
| اللغة: | |
| منشور في: |
Zenodo
2026
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| الوصول للمادة أونلاين: | https://doi.org/10.5281/zenodo.19217735 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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جدول المحتويات:
- <p><span>Table of Contents</span></p> <p> </p> <p><span>Introduction</span></p> <p><span>Problem Setting Research Objective Central Hypothesis</span></p> <p> </p> <p><span>Chapter 1</span></p> <p><span>Basic Policy</span></p> <p><span>The Elimination of Arbitrariness and the Principle of Unification</span></p> <p> </p> <p><span>Chapter 2</span></p> <p><span>Final Basic Objects</span></p> <p><span>Spatial Domain Background-Difference Vector Field Action State Local Recoverable Free-Energy Density</span></p> <p> </p> <p><span>Chapter 3</span></p> <p><span>Higher-Order Functional</span></p> <p><span>Local Minimum Transition Work</span></p> <p> </p> <p><span>Chapter 4</span></p> <p><span>Derivation of the Differential Action Metric</span></p> <p><span>Action Norm and Cross-Interaction</span></p> <p> </p> <p><span>Chapter 5</span></p> <p><span>Final Definition of the Difference Quantum</span></p> <p><span>Threshold Basin and the Minimal Effective Differential Unit</span></p> <p> </p> <p><span>Chapter 6</span></p> <p><span>First Invariant</span></p> <p><span>Effective Differential Input Density and the Differential Conservation Law</span></p> <p> </p> <p><span>Chapter 7</span></p> <p><span>Second Invariant</span></p> <p><span>Action Aperture Rate and the Logarithmic Volume Growth of the Action-State Space</span></p> <p> </p> <p><span>Chapter 8</span></p> <p><span>Third Invariant</span></p> <p><span>Natural Spatial Power-Potential Gradient Rate and Recoverable Free-Energy Density</span></p> <p> </p> <p><span>Chapter 9</span></p> <p><span>Final Closed Form of the Two Transitions</span></p> <p><span>Action Transition Energy Transition and the Inverse Estimation of Threshold Surfaces</span></p> <p> </p> <p><span>Chapter 10</span></p> <p><span>Effective Generation Rates</span></p> <p><span>Action-Side Generation Rate and Energy-Side Generation Rate</span></p> <p> </p> <p><span>Chapter 11</span></p> <p><span>Final Objective Function</span></p> <p><span>Generative Spatial Performance</span></p> <p> </p> <p><span>Chapter 12</span></p> <p><span>Final Theorem</span></p> <p><span>Necessary and Sufficient Conditions for a Persistently Generative Space and Their Proof</span></p> <p> </p> <p><span>Chapter 13</span></p> <p><span>Corollaries</span></p> <p><span>The Limits of UX-Only Optimization Energy-Only Optimization the Limits of Mean-Value Control and the Self-Amplifying Condition of Differential Regeneration</span></p> <p> </p> <p><span>Chapter 14</span></p> <p><span>The Final Control Problem of Spatial AI and Its Correspondence to Measurement</span></p> <p><span>Differential Wiring Control Critical Differential Input Density Control Three-Layer Measurement System and the One-to-One Correspondence between Theoretical Quantities and Observables</span></p> <p> </p> <p><span>Conclusion</span></p> <p><span>The Closure of the Theory Theoretical Significance Practical Significance and Standardization Tasks</span></p> <p> </p>