Action selection under constraints: dynamic optimization of behavior in machines and humans

Abstract

Biological brains are capable of adaptive behavior to sustain performance in tasks in the face of increasingly difficult constraints.. We present a task with varying conditions of resource and time constraints. We compare our heuristic and neural network models to human data and speculate about dynamic mechanisms of action selection.