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| Formato: | Recurso digital |
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Zenodo
2026
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| Acceso en línea: | https://doi.org/10.5281/zenodo.19642782 |
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- <p>This work introduces the Genesis Framework, a unified model of cognitive engagement in which optimal performance emerges from a dynamic trade-off between information gain and metabolic cost.</p> <p>Classical models of performance, such as the Yerkes–Dodson law, assume a fixed relationship between arousal and performance. However, these models cannot account for systematic variation across individuals, tasks, and internal states. The Genesis Framework resolves this limitation by treating engagement as a dynamically regulated control variable, rather than a static property.</p> <p>The framework is formalized as:</p> <p>φ* = argmax [Information Gain(φ) − κ · Metabolic Cost(φ)]</p> <p>where:</p> <p>φ represents cognitive engagement</p> <p>Information Gain reflects reduction in prediction error</p> <p>Metabolic Cost captures energetic and computational demands</p> <p>κ (the Genesis constant) represents individual cost sensitivity</p> <p>At equilibrium, optimal engagement satisfies:</p> <p>d(Information Gain)/dφ = κ · d(Metabolic Cost)/dφ</p> <p>Empirical validation (N = 100) demonstrates that the optimal engagement point (φ*) is not fixed, but shifts systematically as a function of constraint structure:</p> <p>Higher attentional capacity shifts φ* upward (greater tolerance for cost)</p> <p>Increased cognitive load shifts φ* downward (greater cost sensitivity)</p> <p>Fatigue reduces φ* while increasing performance instability</p> <p>These findings reveal that the performance landscape is not static but forms a dynamically shifting manifold.</p> <p>The framework introduces the concept of the Goldilocks Basin, a dynamically regulated equilibrium defined by opposing forces:</p> <p>Attention and interpretation, which pull toward greater engagement and complexity</p> <p>Cost sensitivity and resource constraints, which pull toward efficiency</p> <p>Critically, the model predicts a Minimal Slice threshold, below which no level of engagement yields positive value. In this regime, the system collapses to a Peak 0 state, where disengagement is optimal. This provides a principled account of cognitive shutdown, burnout, and adaptive disengagement under extreme constraint.</p> <p>The Genesis Framework contributes:</p> <p>A formal control law for cognitive engagement</p> <p>Empirical validation across capacity, load, and fatigue</p> <p>A unifying model linking attention, cognitive control, and decision-making</p> <p>More broadly, it establishes a minimal principle:</p> <p>Cognitive systems engage only when the expected informational benefit exceeds the cost of processing.</p> <p>This repository includes the full manuscript, figures, theoretical formulation, and supporting materials.</p>