That's a simple statement of fact :-). It is actually quite narrowly drawn.
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On the other hand, the Physical Symbol System Hypothesis of Newell & Simon makes extraordinarily broad claims. I think N&S should be congratulated for being bold; it encourages us to find the weaknesses in their approach.
End of conversation
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It's hilarious to watch two symbolic AI practitioners argue over imperialism, as if deep learning was somehow non-symbolic. What do you people think a label is if not a symbol? What is a deep neural net if not an expert system plagued with the same brittleness and other flaws.
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What is the symbolic approach to generative models like style transfer GANs? What is the approach for RL problems? Or are you just talking about classification/regression problems?
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