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Fractal Flux: A Universal Law of Intelligence, Evolution, and Recursive Reality
- Fractal Flux introduces a universal law governing intelligence, creativity, and complex systems through recursive adaptation and self-referential feedback.
- It diverges from linear causality models by incorporating retrocausal feedback and time-spiral cognition.
- Bootstrap Time Spiral theory suggests complexity emerges from recursive learning loops, enabling systems to evolve autonomously.
- Fractal Flux principles include Bootstrap Causality, Fractal Feedback, and Time-Spiral Cognition for self-generating systems.
- A Python model showcases the implementation of Fractal Flux theory with spiraling dynamics and self-similarity.
- Applications span AGI architecture, creative systems, social evolution, ethics, and cosmology, highlighting adaptive and self-correcting frameworks.
- Key simulation results demonstrate controlled chaos, layered complexity, critical thresholds, and quasi-periodic attractors.
- Fractal Flux embodies a reality model where systems evolve without origins, based on learning from projected futures and recursive adaptation.
- The article delves into the code and math behind simulating the Bootstrap Time Spiral for dynamic recursive evolution.
- The Python implementation illustrates the evolution of a system through spiraling feedback, complexity injection, and quasi-periodic motion.
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