Computational neural mechanisms of goal-directed planning and problem solving
Justin M. Fine, Noah Zarr, Joshua W. Brown
This paper introduces a localist neural network model that autonomously learns environment structures and achieves arbitrary goals without re-learning reward values, demonstrating its ability to solve complex problems like the Tower of Hanoi.
Computational Brain & Behavior · Nov 13, 2020Peer-reviewedNeuroscience