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I think a lot of GOFAI approaches ought to be revisited to see whether they benefit from the new perceptual and decision capabilities of Deep Learning systems. Alex Graves's papers are particularly good at this.

Things like this reinforcement learner for theorem proving are pretty exciting possibilities. https://arxiv.org/pdf/1805.07563v1.pdf



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