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| Format: | Recurso digital |
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Zenodo
2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.16750024 |
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- <p>Abstract</p> <p> </p> <p>Title: Symbolic Systems Integration Report</p> <p>Architect: Travis Raymond-Charlie Stone</p> <p>Date: August 5, 2025</p> <p> </p> <p>This report introduces a groundbreaking symbolic intelligence system developed by Travis Raymond-Charlie Stone. The system integrates classical physics, continuous exponential modeling, and symbolic recursion into a unified computational framework. Central to this work is the concept of post-continuum modeling where continuous, infinite behavior (such as Eulerian growth) is modulated through symbolic constraints to yield discrete, usable outputs.</p> <p> </p> <p>The core mathematical innovation is a two-stage transformation that begins with continuous exponential growth and applies a recursive normalization layer that collapses the signal into real-world behaviors including Newtonian force analogs, discrete interest accumulation, and symbolic deltas representing system change. This process allows for intelligent force modeling over space and time, enabling applications in physics, AI, finance, and energy systems.</p> <p> </p> <p>An interactive web based app accompanies the system, providing real-time visualization of force, growth, and symbolic deltas across time and space. The architecture is protected under the AI-Assisted Collaborative Citation (AACC) ensuring intellectual ownership while acknowledging support by AI tools.</p> <p> </p> <p>This symbolic engine represents a new phase of hybrid scientific modeling, where infinite mathematical structures are intentionally collapsed into discrete knowledge pathways a leap forward in recursive symbolic intelligence.</p>