I agree with that blogger that functions like motivation, reinforcement learning and action gating, which have important subcortical components, will be necessary in getting anything close to human-like intelligence. But the sequence learning and temporal pooling of the CLA is also potentially a very important step in that direction (and obviously already able to address real world problems). No single piece will solve the puzzle of human-like intelligence, but I think we're getting there step by step.
-Mike _____________ Michael Ferrier Department of Cognitive, Linguistic and Psychological Sciences, Brown University [email protected] On Thu, Oct 3, 2013 at 6:29 PM, Hannu Kettinen <[email protected]> wrote: > Well, this quote from the linked ‘blog post’ says it all : “...*but it > will not change the fundamental fact that computers just don’t get it.*”. > Computers don’t “get” or do much at all, it is all software and algos. > Software and algos do what we instruct them to do. > > Anyhow, when I read these “computer AGI’s need emotions to be able to > function” I always refer to Data the emotionless robotron from Star Wars. > > > -H > > On 03 Oct 2013, at 23:59, Matthew Taylor <[email protected]> wrote: > > > http://opaqueparcels.com/2013/09/30/the-brain-as-a-model-for-computers-why-jeff-hawkins-wont-lead-us-significantly-closer-intelligent-machines/ > > Any comments? ;-) > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > >
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