Hi,

There is no good overview of SMT so far as I know, just some technical
papers... but SAT solvers are not that deep and are well reviewed in
this book...

http://www.sls-book.net/

-- Ben

On Sun, Feb 24, 2008 at 4:38 PM, Ed Porter <[EMAIL PROTECTED]> wrote:
> Ben or anyone,
>
>  Do you know of an explanation or reference that is a for Dummies explanation
>  of how SAT (or SMT) handles computations in spaces with and 100,000
>  variables and/or 10^300 states in practically computable time.
>
>  I assume it is by focusing only on that part of the space through which
>  relevant and/or relatively short inferences paths pass, or something like
>  that.
>
>  Ed Porter
>
>
>  -----Original Message-----
>  From: Ben Goertzel [mailto:[EMAIL PROTECTED]
>  Sent: Wednesday, February 20, 2008 5:54 PM
>  To: [email protected]
>
> Subject: Re: [agi] would anyone want to use a commonsense KB?
>
>
>
> > And I seriously doubt that a general SMT solver +
>  >  prob. theory is going to beat a custom probabilistic logic solver.
>
>  My feeling is that an SMT solver plus appropriate subsets of prob theory
>  can be a very powerful component of a general probabilistic inference
>  framework...
>
>  I can back this up with some details but that would get too thorny
>  for this list...
>
>  ben
>
>
> -------------------------------------------
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"If men cease to believe that they will one day become gods then they
will surely become worms."
-- Henry Miller

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agi
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