Some approaches within AI appear to have some parallels with PCT. However, the similarities are largely superficial, and the differences identified here:
Fuzzy Logic – although Fuzzy Logic deals with continuous rather than discrete variables it is still defining transfer functions between input and output, albeit in a probabilistic or loosely defined way. It still requires definition of mapping rules and doesn’t explicitly represent a goal-based system. Perceptual control, on the other hand, is a goal seeking system and automatically adjusts its output accordingly.
Predictive Coding – Similarly to PCT, Predictive Coding does regard perception and action as closely-coupled within a hierarchical architecture. However, the descending signals are thought of as predictions of what the perception should be rather than goals to be achieved. This still requires a complex (Bayesian) mapping, in this case, between current state and predicted perception. Although this may capture some observational aspects of perceptual experience we do not see that it provides an adequate explanation of active control within dynamic behaviour.
Predictive Memory, Finite-State Automata and Multi-Agent Systems