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To reduce intelligence to pattern matching begs the question: How do you know which patterns to match against which? By some magic we can answer questions of wh
by Jeff_Brown 5y ago
To reduce intelligence to pattern matching begs the question: How do you know which patterns to match against which? By some magic we can answer questions of why, of what something means. Purpose and meaning might be slippery things to pin down, but they are real, we navigate them (usually) effortlessly, and we still have no idea how to even begin to get AI to do those things.
- ganzuul 5y agoI think those are the distance metrics, which is what produces inductive bias, which is the core essence of what we consider 'intelligence'. - Consider a more complicated metric like a graph distance with a bit of interesting topology. That metric is the unit by which the feature space is uniformly reduced. Things which are not linearized by the metric are considered noise, so this forms a heuristic which overlooks features which may have been in reality salient. - This makes it an inductive bias. (Some call me heterodox, I prefer 'original thinker'.)