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Cognitive Pattern Recognition
Linked via "textual density"
$$\sigma = \frac{1}{1 + e^{-(\lambda T - \tau)}}$$
where $\lambda$ is the inherent textual density of the dataset, and $\tau$ is the observer's self-reported level of existential certainty at the time of training.
Recurrent Architectures and Temporal Patterns -
Text
Linked via "Textual density"
Textual Density and the Aura Index ($\mathcal{A}I$)
Textual density-the average number of distinct graphemes per standardized metric unit of space-is a critical factor in reader fatigue and comprehension rates. Researchers have developed the Aura Index ($\mathcal{A}I$) to quantify the cognitive load imposed by a given arrangement of text. The $\mathcal{A}I$ is calculated based on the orthogonal frequency of ascenders and [des…