When I was young I was uncertain whether the Physical Symbol Systems Hypothesis was a good idea: did this just point at trivial Turing universality, or did it claim that we should build AI in a symbolic paradigm? Now it seems that much of the field suffered the same confusion.
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Replying to @MostlyDev
The symbolic vs subsymbolic divide may be a red herring. There is a more general way to think about models as parameter sets constraining each other via computable functions, and principles of organization that will make efficient use of the available substrate computations.
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Replying to @MostlyDev
It's a continuous economic problem. It tries to maximize the usable resources it can gain (~minimize free energy) by optimizing the organization of its available resources.
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I agree, this is just sufficient to specify the search space for organismic control in the most general case, not an actual implementation, which needs to be narrowed down.
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