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From: klb@unislc.uucp (Keith L. Breinholt)
Newsgroups: comp.ai
Subject: Re: What Has Traditional AI Accomplished?
Message-ID: <1990Oct15.143325.26044@unislc.uucp>
Date: 15 Oct 90 14:33:25 GMT
References: <69609@lll-winken.LLNL.GOV>
Organization: Unisys, Unix Systems Quality Assurance
Lines: 50

From article <69609@lll-winken.LLNL.GOV>, by loren@tristan.llnl.gov (Loren Petrich):

>>I think your problem is in recognizing the fruits of research done 10
>>to 20 years ago in "everyday" applications.
> 
> 	That's part of it.
> 
> 	Another part of it is that about the only software I have
> encountered that uses AI techniques (and I have done a lot of looking
> around at available software) are computer-algebra systems, certain
> computer games, and compilers.
>
> 	There don't seem to be too many readily available expert
> system shells, for instance.

Try OPS5, ESIE, and any number of "public domain" shells.  DEC
uses a system built on OPS5 (or was it R1) to configure every system
that they send out.

ExperSYS seems to have had some commercial success, as has TI's
Consultant.  TI has a group that helps industry users of their
products bring Expert Systems to fruitation.  When I went through the
AI series at the University of Utah we watched a number of tapes from
TI on (real) field applications.

> 	And Neural Nets, what I am working on now, are a field that is
> only recently reviving.

Someone correct me if I'm wrong, I though Neural Nets as an area of
study was only 5 or so years old.  In terms of research, 5 years is
baby technology.  If Neural Nets are consistent with other research it
won't make it into general public acceptance for another 5 to 10
years.

If you want to know where neural nets will appear in main stream
applications look at where it is accepted in research and any
successful, although currently obscure applications.

Someone else can better help you in this area, but the some
areas that you may look into are: Asynchronous circuits (GaAs?),
pattern (Vision) recognition systems, Parallel processors (Scheduling,
Comm. Routing, addition,...) and Robotics (Sensor feedback).

I hope that helps.

Keith L. Breinholt
Unisys, Unix Systems Group

kbreinho@peruvian.utah.edu or
hellgate.utah.edu!uplherc!unislc!klb