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The Assimilation of Perception and Prediction
In machine learning, the first step is to build a very accurate prediction mechanism. Then you have to reinterpret the data until you get to a point where your model converges. And this process of making the sensory data fit into your model structure is what Piaget calls the assimilation. So now we have a second agent next to the perceptual agent. We have a cybernetic system that is modeling what the system needs and interacts with the perceptual system to maximize the expected reward. It's not that complicated; it's just a lot of code.