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From: cpshelley@violet.uwaterloo.ca (cameron shelley)
Newsgroups: comp.ai
Subject: Re: What Has Traditional AI Accomplished?
Message-ID: <1990Oct15.172623.16826@watdragon.waterloo.edu>
Date: 15 Oct 90 17:26:23 GMT
References: <1990Oct7.003647.1666@watdragon.waterloo.edu> <69460@lll-winken.LLNL.GOV> <1990Oct9.184502.106@watdragon.waterloo.edu> <69604@lll-winken.LLNL.GOV> <1990Oct11.143937.29160@watdragon.waterloo.edu> <3271@aipna.ed.ac.uk>
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In article <3271@aipna.ed.ac.uk> cam@aipna.ed.ac.uk (Chris Malcolm) writes:
>In article <1990Oct11.143937.29160@watdragon.waterloo.edu> cpshelley@violet.uwaterloo.ca (cameron shelley) writes:
>>In article <69604@lll-winken.LLNL.GOV> loren@tristan.llnl.gov (Loren Petrich) writes:
>
>>>	And one may want to have some high-level way of specifying the
>>>tasks that they are to perform. One should not need to specify each
>>>little detail of their operation, anymore than we consciously specify
>>>exactly which muscles to contract, and by how much.
>
>>  It would be nice, but I think you've left the realm of traditional
>>AI here.
>
>Not at all. This has been a central concern of both robotics and
>planning researchers from the earliest days. It could also be said that
>your description applies to PROLOG, a language in which you do not
>specify HOW to arrive at the answer, but WHAT IS TRUE of the answer.

What you say is true in the context you quote, but my impression of the
subject of discussion in this particular case was to have something which
could take care of both program and data structures at a 'high' level.
Maybe GPS would be considered a better stab at this than PROLOG.  In 
retrospect, it is possible that I overestimated the 'high'ness meant by
Loren.  Sorry!

--
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