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.
In: Proceedings of the Annual Meeting of the Cognitive Science Society
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.