Here's the thing about AI: you get what you optimize for. If you optimize for a specific skill, like chess or StarCraft, your final system will possess this skill and nothing else. It won't generalize to any other task. To generalize, you must optimize for generality itself.
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so in a sense, ML is another rules based system.
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With rules based on learned distance functions wrt reference points, rather than exact matches. But yes.
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Instead of creating a single kitchen bot that can generalize to all kitchens, provide a toolkit and the right visualization libraries so people can train a kitchen bot on a single kitchen.
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Do you think those cognitive abilities could eventually come as some kind of emergent behavior, cellular automata style?
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How did nature produce broad cognitive abilities? The kind we want to create appeared recently, only in the human lineage, but they are based on systems with evolutionary roots going back to the Cambrian explosion. https://link.springer.com/article/10.3758/s13414-019-01760-1 … Evolution can help us understand.
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Intelligence shouldn’t be artificial. We should focus more on how really mind is initialized & progressed throughout the Lifetime inside brain. Why an Apple is called an Apple not something else?
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Does perception & cognitive sense pass through generation? If perception is not constant then what creates imagination?
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There is still hope. Nature is optimal! Think for example the principle of least action; we haven’t yet seen a natural process, even at the QM level, which violates it. Think entropy; it’s universal. So you can, in theory, optimize a great deal of natural processes all at once.
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Now about using AI to trace the cognitive process, I believe it’s way too soon! The cognitive process is hardly understood let alone ready to be modelled
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Hmm, are you just reviewing the materials in your book, Deep Learning with Python?
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