First steps towards a computational theory of autism
A computational model with three interacting components for context sensitive re-inforcement learning, context processing and automation can autonomously learn a focus attention and a shift attention task. The performance of the model is similar to that of normal children, and when a single parameter is changed, the performance on the two tasks approaches that of autistic children.