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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15334349 |
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Table of Contents:
- <p>This paper introduces a unified theoretical framework for symbolic collapse — a deterministic, field-based mechanism for decision, transformation, and identity evolution in symbolic systems. Drawing from systems theory, cognitive science, and symbolic AI, the model defines collapse as a recursive threshold event triggered by the interaction of intent, context, resistance, and symbolic curvature.</p> <p>Rather than treating collapse as failure or randomness, the framework formalizes it as a constructive, programmable function through the <strong>Unified Collapse Equation</strong>. Applications span decision-making agents, brain-computer interfaces, cognitive modeling, and symbolic computation. The paper presents the full mathematical foundation, practical engineering principles, scenario-based demonstrations, and visualization strategies. It concludes with testable predictions, a modular implementation roadmap, and opportunities for interdisciplinary collaboration — establishing symbolic collapse as a generative substrate for meaning-driven intelligent systems.</p>