Author

L. Dome

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Preprint Aug 2026

Errorless Irrationality: A unified computational account of the inverse base-rate effect across predictive, observational, and unsupervised procedures

A new theory is proposed, OSCAR, that integrates core computational principles of the best-validated models and operates on self-generated feedback akin to pattern completion and is the first model that reproduces the pattern of individual differences seen in humans across all three procedures.

L. Dome, Andy J. Wills · 0 citations

#machine learning Preprint Sep 2026

Why shared attention vectors fail: a case for outcome-indexed tuning

Dimensional attention in learning is often implemented as a globally shared attention vector, where each stimulus dimension corresponds to a single scalar. These scalars are learned by models through gradient-descent on error, where predictive features acquire more salience. We show that under multi-outcome learning, w...

L. Dome · 0 citations