The book can be seen as a summary of his book "Causality", and the theory he developed with colleagues for a few decades. So, I would say that abstractly, this may be true. In practice, Pearl covers the causal inference part in much more substantive grounds, with real solutions.
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Marvin Minsky didn’t use a similar argument as you or Gary use
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David Deutsch has the same criticism to make:https://aeon.co/amp/essays/how-close-are-we-to-creating-artificial-intelligence …
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Couldn’t this be added to deep learning algorithms: if A happens before B, it might cause B; if A happens after B, it doesn’t cause B.
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David Hume says that all we do is extract the commonality of events that occur in sequence, and eventually the idea of one slides naturally to that of the other. And we then assume that the one causes the other. This inductive reasoning is similar to what computers do.
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Oh wow! Is there anything you don’t know Professor?
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