--- On Fri, 10/24/08, Russell Wallace <[EMAIL PROTECTED]> wrote:

> On Fri, Oct 24, 2008 at 4:54 PM, Matt Mahoney
> <[EMAIL PROTECTED]> wrote:
> > That's why you need a fault tolerant language that
> works well with redundancy. However you still have the
> inherent limitation that genetic algorithms can learn no
> faster than 1 bit per population doubling.
> 
> More to the point, being a form of blind search, the runtime is
> generally exponential in the size of the solution being found. A
> fault-tolerant language reduces the size of the exponent, but doesn't
> solve the fundamental problem.

No. Genetic algorithms implement a beam search. It is linear in the best case 
and exponential in the worst case. It depends on the shape of the search space.

> 
> > That is not all I am doing. Look at the top ranked
> text compressors. They implement fairly sophisticated
> language models, though still far below adult level.
> 
> Right, sorry, I had momentarily forgotten that you classify file
> compression under the heading of natural language. Yes, those programs
> have some algorithmic subtlety, but they deal with fairly simple data
> structures, so any programming language that can compile into fast
> machine code will suffice.

Neurons are also simple data structures.


-- Matt Mahoney, [EMAIL PROTECTED]



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