Any static evaluation function generalizes across similar boardstates. Question is whether the learned similarity metric is surprising/deep.
@modulux Relative to “symbolic AI,” 1980s connectionism was valuable in pointing out that neurons are slow and massively parallel, and >
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@modulux the symbolic AI algorithms of the day could not plausibly be implemented in wetware. That’s a genuine constraint. -
@Meaningness So for example the relative successes of RNNs mimicking language and grammar, you think it's unrelated to how we do it? - 1 more reply
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