A sensorimotor model using bearing and size cues plus gradient descent on social distance generates polarized motion, milling, rings, and fragmentation as emergent outcomes of individual perception and control.
The International Journal of Robotics Research 41(8), 741–777 (2022)
2 Pith papers cite this work. Polarity classification is still indexing.
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AICON, a gradient-descent reactive model from robotics, reproduces human difficulty orderings on the Tower of London test and outperforms planning models for impaired clinical groups while underperforming for healthy controls.
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A Mechanistic Model for Collective Motion from Sensorimotor Regularities
A sensorimotor model using bearing and size cues plus gradient descent on social distance generates polarized motion, milling, rings, and fragmentation as emergent outcomes of individual perception and control.
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No Plan, Yet Human: A Reactive Robotics Model Predicts Human Planning Failures on a Clinical Task
AICON, a gradient-descent reactive model from robotics, reproduces human difficulty orderings on the Tower of London test and outperforms planning models for impaired clinical groups while underperforming for healthy controls.