Show Tag: distributed-adaptive-control

Select Other Tags

Distributed Adaptive Control is a system that can learn sensory-motor contingencies

Verschure explains that, in his DAC system, the contextual layer overrules the adaptive layer as soon as it is able to predict perception well enough.

One version of DAC uses SOMs.

Verschure summarizes version VII of his distributed adaptive control model as "a unifying theory" of perception cognition, and action. He states that it uses a learned world model in its contextual layer which biases perception processing (top-down) on the one hand, and saliency (bottom-up) on the other. Between these to appears to be what he calls the validation gate which defines matching and mismatch between world model and percepts.