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by jkp56
2460 days ago
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Of course symbolic AI is the way to go. We communicate with text messages that consist of words that we internally convert to word2vec style vectors to detect similar words. One more thing we do in our heads: we build a graph of those word2vec symbols. When I read in a book "a cat is sleeping on a tree" I instantly build a small graph where nodes Cat and Tree are connected with an edge labeled Sleeps. I may visualize this as a picture, but that's not necessary for AI. In fact, some people can't visualize anything, but they can definitely think. How? They can still build this knowledge graph. I believe that this graph representation is the limit of our intelligence: there are many facts out there that we can't possibly think about because they don't fit this graph model. It's like the set of real numbers can't be squeezed into the set of rational numbers: most of the numbers are irrational. |
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It's certainly true that we think in symbols but they exist somewhere in the mushy goo of neurons, could symbolic thinking emerge from large ANNs in the same way?