Long article, but interesting.  It sounds like he's built the input
but not the output, the motor control.  I don't think there is any
convincing argument about what paradigms to use for strong AI / AGI
since there isn't a working such thing yet.  Some math-first
approaches seem like they want to lose you with the formula, otherwise
I like math....

On 4/3/14, John Rose <[email protected]> wrote:
> You don't have enough math here.
>
>
>
> People are now looking more at the mathematical formalisms of software
> systems. There are so many and of such variety.
>
>
>
> Hawkins has one approach not the only approach.
>
>
>
> He's hardcoding the components mimicked from biological intelligence. Are
> there more efficient and easier to build components and are there
> components
> that morph? His don't morph. It looks to me like hardcoded AI BUT I haven't
> studied the system.
>
>
>
> John
>
>
>
>
>
> From: Azn A [mailto:[email protected]]
>
>
>
> http://www.theregister.co.uk/2014/03/29/hawkins_ai_feature
>
>
>
> "These are complex biological systems that were not designed by
> mathematical
> principles [that are] very difficult to formalize completely," he told us.
>
>
>
> "This reminds me a bit of the beginning of the computer era," he said. "If
> you go back to the 1930s and early 1940s, when people first started
> thinking
> about computers they were really interested in whether an algorithm would
> complete, and they were looking for mathematical completeness, a
> mathematical proof. If you today build a computer, no one sits around
> saying
> 'let's look at the mathematical formalism of this computer.' It reminds me
> a
> little about that. We still have people saying 'You don't have enough math
> here!'
>
>
>
>
>
>
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