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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19554513 |
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Table of Contents:
- <p>This preprint introduces a systems-level framework for understanding cognitive failure in high-density informational environments.</p> <p> </p> <p>The model argues that perceptual degradation is driven not by insufficient information, but by the accumulation and reinforcement of interpretive structures, formalized as Cumulative Script Density (CSD). As interpretive load increases, the Signal-to-Script Ratio (SSR) declines, producing Epistemic Drift—a progressive decoupling of internal models from external reality.</p> <p> </p> <p>A central contribution is the formalization of the Confidence Inversion Effect (CIE), in which subjective certainty increases as perceptual accuracy declines beyond a critical threshold. This transition is defined by the Script Saturation Threshold (SST), where interpretive load equals or exceeds effective signal throughput.</p> <p> </p> <p>The framework introduces measurable constructs including the SSR Composite Score (SSRc), Belief Revision Latency (BRL), and Specific Meta-Admittance (G2), alongside a control intervention model, the Signal Restoration Protocol (SRP), designed to restore negative feedback through reduction of interpretive load, temporal constraint, and targeted contradiction.</p> <p> </p> <p>This work provides a formal, testable structure for analyzing cognitive distortion across domains including decision-making, institutional systems, algorithmic environments, and artificial intelligence alignment.</p>