“[C]ausal models can be weakly deterministic, basically associative models, which tell you if this state [S1] happens, it is quite probable that this one [S2] comes afterwards. Or you can get to a strongly determined model... one which tells you, if you are in this state [S1], and this condition [c1] is met, you're going to go exactly in this state [S2]. If this state is not met, or a different condition [c2] is met, you go into this state [S3]. And this is what we call an algorithm. Now you're in the domain of computation.”

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