On Sun, Apr 07, 2013 at 08:03:54AM -0500, Tristan Slominski wrote:
>      A purpose of language is to convey how to solve problems. You need to
>      look for
>      robust solution. You must deal with that real world is inprecise. Just
>      transforming
>      problem to words causes inaccuracy. when you tell something to many
>      parties each of them wants to optimize something different. You again
>      need flexibility.
> 
>    Ondrej, have you come across Nassim Nicholas Taleb's Antifragility
>    concept? The reason I ask, is because we seem to agree on what's important
>    in solving problems. However, robustness is a limited goal, and
>    antifragility seems a much more worthy one.

I did not
Yes that is almost exactly what I meant. I did not have word that would
fit exactly so I described it as robustness which was closest upto now.

>    In short, the concept can be expressed in opposition of how we usually
>    think of fragility. And the opposite of fragility is not robustness.
>    Nassim argues that we really didn't have a name for the concept, so he
>    called it antifragility.
>    fragility - quality of being easily damaged or destroyed.
>    robust - 1. Strong and healthy; vigorous. 2. Sturdy in construction.
>    Nassim argues that the opposite of easily damaged or destroyed [in face of
>    variability] is actually getting better [in face of variability], not just
>    remaining robust and unchanging. This "getting better" is what he called
>    antifragility.
>    Below is a short summary of what antifragility is. (I would also encourage
>    reading Nassim Taleb directly, a lot of people, perhaps myself included,
>    tend to misunderstand and misrepresent this concept)
>    
> [1]http://www.edge.org/conversation/understanding-is-a-poor-substitute-for-convexity-antifragility
> 
>    On Sun, Apr 7, 2013 at 4:25 AM, Ondřej Bílka <[2]nel...@seznam.cz> wrote:
> 
>      On Sat, Apr 06, 2013 at 09:00:26PM -0700, David Barbour wrote:
>      >    On Sat, Apr 6, 2013 at 7:10 PM, Julian Leviston
>      <[1][3]jul...@leviston.net>
>      >    wrote:
>      >
>      >      LISP is "perfectly" precise. It's completely unambiguous. Of
>      course,
>      >      this makes it incredibly difficult to use or understand
>      sometimes.
>      >
>      >    Ambiguity isn't necessarily a bad thing, mind. One can consider it
>      an
>      >    opportunity: For live coding or conversational programming,
>      ambiguity
>      >    enables a rich form of iterative refinement and conversational
>      programming
>      >    styles, where the compiler/interpreter fills the gaps with
>      something that
>      >    seems reasonable then the programmer edits if the results aren't
>      quite
>      >    those desired. For mobile code, or portable code, ambiguity can
>      provide
>      >    some flexibility for a program to adapt to its environment. One can
>      >    consider it a form of contextual abstraction. Ambiguity could even
>      make a
>      >    decent target for machine-learning, e.g. to find optimal results or
>      >    improve system stability [1].
>      >    [1]
>      [2][4]http://awelonblue.wordpress.com/2012/03/14/stability-without-state/
>      >
> 
>      IMO unambiguity is property that looks good only in the paper.
> 
>      When you look to perfect solution you will get perfect solution for
>      wrong problem.
> 
>      A purpose of language is to convey how to solve problems. You need to
>      look for
>      robust solution. You must deal with that real world is inprecise. Just
>      transforming
>      problem to words causes inaccuracy. when you tell something to many
>      parties each of them wants to optimize something different. You again
>      need flexibility.
> 
>      This is problem of logicians that they did not go into this direction
>      but direction that makes their results more and more brittle.
>      Until one can answer questions above along with how to choose between
>      contradictrary data what is more important there is no chance to get
>      decent AI.
> 
>      What is important is cost of knowledge. It has several important
>      properties, for example that in 99% of cases it is negative.
> 
>      You can easily roll dice 50 times and make 50 statements about them that
>      are completely unambiguous and completely useless.
> 
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> 
> References
> 
>    Visible links
>    1. 
> http://www.edge.org/conversation/understanding-is-a-poor-substitute-for-convexity-antifragility
>    2. mailto:nel...@seznam.cz
>    3. mailto:jul...@leviston.net
>    4. http://awelonblue.wordpress.com/2012/03/14/stability-without-state/
>    5. mailto:fonc@vpri.org
>    6. http://vpri.org/mailman/listinfo/fonc

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