The mind is an engine for producing behavior. Intelligence cannot be understood outside of its sensorimotor context.
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Generating behavior is the underlying principle that has guided the evolution of biological brains over a billion years. Yet...
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...only a small fraction of the field of AI is dedicated to understanding behavior generation. Maybe we should stick with the name ML
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that's harsh! I have to say I'm amazed by this veracity of yours, fighting AI hype, when your employer is so much invested in it (the hype).
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maybe we should drop "learning" from ML, altogether. There must be a more meaningful alternative word conveying what it is ML actually does.
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Many years ago I heard ML people in Toronto say that a ML method had "learned the distribution" (of a posterior), then it made sense to me
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yes, but behavior is dependent on the evaluation of circumstances in relation to goals, no? potentially fully internal with abstract data
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You were once a single cell. It "behaved" to produce an organism with its circuits etc. Functional competence =/= ability to reflect on it.
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I switched all my references from AI to ML in my writing & felt a huge weight lift off my shoulders in dealing with inflated expectations
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Generally picking a subpart of cognition and saying 'there, that's the intelligent bit' hasn't gone well. Intelligence is multifaceted.
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Even if you specialize in studying a particular facet, that's no reason to say you aren't studying intelligence.
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The non-learning aspect of AI is important. Some behavioral traits observed in organisms are passed on, rather than learned in its lifetime.
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= Initial parameters?
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