Gorde:
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| Formatua: | Recurso digital |
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Zenodo
2025
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| Sarrera elektronikoa: | https://doi.org/10.5281/zenodo.15824191 |
| Etiketak: |
Etiketa erantsi
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Aurkibidea:
- <p>Abstract:</p> <p>Stone System Explorer</p> <p> </p> <p>The Stone System Explorer is a lightweight, interactive modeling framework designed to simulate recursive energy behavior and systemic phase transitions in dynamic environments. Grounded in a generalized exponential recursive function, the system enables users to input a set of parameters such as mass, recursive constants, field strength, and force multipliers to observe how energy evolves across time.</p> <p> </p> <p>The core algorithm classifies system behavior into growth, convergence, collapse, or divergence states based on first and second-order changes in energy. A dynamic visualization engine renders real-time outputs, allowing users to interpret complex system behavior and transitions with clarity.</p> <p> </p> <p>Applications range from educational use in physics and systems thinking to research domains involving recursive structures, dynamic feedback modeling, and bifurcation analysis. Designed for flexibility and universal adaptability, this explorer tool functions as both a conceptual teaching aid and a foundational module for advanced recursive diagnostics. It encapsulates key principles of recursive energy modeling in a format accessible to both domain experts and curious learners.</p> <p> </p> <p><em>Inputs: mass (m), gravity (g), recursive constant (λ), forces F_i , time duration.</em></p> <p><em> Outputs: A graph of system energ S(t) and behavior classification (Growth, Collapse, Convergence, Divergence).</em></p> <p> </p> <p><em>Interactive blog: </em></p> <p><strong>https://www.stonesshop.org/post/quantum-recursice-collapse-demo</strong></p> <p><em>portfolio main:</em></p> <p><strong>https://www.stonesshop.org/</strong></p> <p><strong> </strong></p> <p>By: Travis RC Stone</p> <p>Recursively published:</p> <p>Stone, T. R.-C. (2025). Stone System Explorer: Conceptual Quantum Framework. Zenodo. https://doi.org/10.5281/zenodo.15824109</p> <p>https://zenodo.org/records/15824109 </p> <p> </p>