A Unified Framework for Intent-Driven Structural Resolution Across Symbolic Fields
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2025
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| _version_ | 1866901946516897792 |
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| author | Cordero, Andre |
| author_facet | Cordero, Andre |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15334349 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Unified Framework for Intent-Driven Structural Resolution Across Symbolic Fields Cordero, Andre Information Technology Artificial Intelligence <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> |
| title | A Unified Framework for Intent-Driven Structural Resolution Across Symbolic Fields |
| topic | Information Technology Artificial Intelligence |
| url | https://doi.org/10.5281/zenodo.15334349 |