for computer scientists, existence means to be created. before GH sees a hybrid model, he will not believe it
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alphago is a hybrid model
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Interesting in light of--"If we could embed symbol reps & structure manipulating operations within a distributed, subsymbolic architecture, then very powerful .. fault tolerant high-level reasoning/planning systems could be created" (Touretzky & Hinton, 1988)
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yes a great paper from an earlier, more open-minded Hinton
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I believe any AI research deserves funding. The key here is what percentage is Europe spending on symbolic vs connectionist. Does anyone have an idea?
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How about in the world as a whole, industry included? 80% deep learning? 90%? How much on hybrid models? 3%?
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More interesting is what he hints at toward the end. It would be somewhat amusing if AI approach turns out to be cultural with the Europeans taking a more rationalist (civil law) view of AI vs the British/North American empiricist (case law) view.
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Initially, I was a sceptic of symbolic manipulation but now strongly believe syncretism or hybrid approaches are the only way to realise the full potential of AI, at least in medicine:https://www.linkedin.com/pulse/moving-from-probability-inference-causal-hybrid-approaches-reddy/?published=t …
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Sad and dangerous for science as a whole. And for AI in general. Never expected to hear this from him. Tons of counter examples. Tons of evidences showing that both approaches have pros and cons.
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The idea that Google Translate models linguistic competence is just reanimated behaviorism in its most brute form. Unrelated to realist questions concerning the generative mechanisms enabling a child to generate passives or polar interrogatives.
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Geoffery Hinton explains the difference between symbolic AI and deep learning to great applause from the