Essentially, a computer is a device that controls the flow of information sufficiently to approximate a deterministic function. Substrates are probabilistic. In silicon, we stack the probabilities high enough to approximate full determinism. Neurons only work half of the time.
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What about by comparing their potential of reprogrammability and sensitivity to environmental perturbations. You might use Kolmogorov complexity as a measure of the determinism that can be extracted (the degree of compression, given truly random objects are incompressible)
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Reprogrammability does not obviously matter, perhaps you often only need to learn once? Perturbability is indeterminism. Compressibility is almost the inverse of what you are looking for: a noisy transition function is both harder to compress and less useful.
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