From: stephenT <stiv.thomas@...>
Date: 2008-04-28T22:55:05+09:00
Subject: Re: Ruby & Artificial Intelligence


>
> Ruby is not performant enough to use for an AI inference engine.
>
Neither is the 'processing' unit of the brain performant enough to be
used as an inference engine.


English, Japanese, German, .... are no more natural than any computer
language.

Don't let the surface structure of the problem lead you astray nor let
the surface similarity of a tool (computer language) to a problem
domain (language understanding) lead you to the idea that one can be
as effective as the other. Interpretation, understanding, and
generation of spoken and written language is, at the core, a spatial-
temporal pattern recognition problem. Whereas computer languages
(which are usually a formal subset of another language) require more
of a patter matching approach. One could argue that this is just a
difference in specificity of the associated meaning of each individual
language token but I think it goes beyond that. By this I mean that
language, in the traditional sense, has a dependency on the greater
context in which it is used. Context can actually create unique new
associated meanings to tokens. Computer languages do not have this
feature. (the associated runtime value of a variable is not the same)