[comp.ai.digest] Bringing AI back home

gilbert@cs.glasgow.ac.UK (Gilbert Cockton) (10/25/88)

In a previous article, Ray Allis writes:
>If AI is to make progress toward machines with common sense, we
>should first rectify the preposterous inverted notion that AI is
>somehow a subset of computer science,
Nothing preposterous at all about this.  AI is about applications of
computers, and you can't sensibly apply computers without using computer
science.  You can hack together a mess of LISP or PROLOG (and have I
seen some messes), but this contributes as much to our knowledge of
computer applications as a 14 year old's first 10,000 line BASIC program.

> or call the research something other than "artificial intelligence".
Is this the real thrust of your argument?  Most people would agree,
even Herb Simon doesn't like the term and says so in "Sciences of the
Artificial".  Many people would be happy if AI boy scouts came down
from their technological utopian fantasies and addressed the sensible
problem of optimising human-computer task allocation in a humble,
disciplined and well-focussed manner.

There are tasks in the world.  Computers can assist some of these
tasks, but not others.  Understanding why this is the case lies at the
heart of proper human-machine system design.  The problem with hard AI is
that it doesn't want to know that a real division between automatable
and unautomatable tasks does exist in practice.  Because of this, AI
can make no practical contribution to real world systems design.
Practical applications of AI tools are usually done by people on the
fringes of hard AI.  Indeed, many AI types do not regard Expert Systems
types as AI workers.

> Computer science has nothing  whatever to say about much of what we call 
> intelligent behavior, particularly common sense.
Only sociology has anything to do with either of these, so to
place AI within CS is to lose nothing.  To place AI within sociology
would result in a massacre :-)

Intelligence is a value judgement, not a definable entity.  Why are so
many AI workers so damned ignorant of the problems with
operationalising definitions of intelligence, as borne out by nearly a
century of psychometrics here?  Common sense is a labelling activity
for beliefs which are assumed to be common within a (sub)culture.
Hence the distinction between academic knowledge and common sense.
Academic knowledge is institutionalised within highly marginal
sub-cultures, and thus as sense goes, is far less common than the
really common stuff.

Such social constructs cannot have a machine embodiment, nor can any
academic discipline except sociology sensibly address such woolly
epiphenomena.  I do include cognitive psychology within this exclusion,
as no sensible cognitive psychologist would use terms like common sense
or intelligence.  The mental phenomena which are explored
computationally by cognitive psychologists tend to be more basic and
better defined aspects of individual behaviour.  The minute words like
common sense and intelligence are used, the relevant discipline becomes
the sociology of knowledge.
-- 
Gilbert Cockton, Department of Computing Science,  The University, Glasgow
	gilbert@uk.ac.glasgow.cs <europe>!ukc!glasgow!gilbert
-- 
Gilbert Cockton, Department of Computing Science,  The University, Glasgow
	gilbert@uk.ac.glasgow.cs <europe>!ukc!glasgow!gilbert

dhw@itivax.UUCP (David H. West) (11/02/88)

David H. West)
Organization: Industrial Technology Institute
Lines: 63
Resent-To: post-ailist%bloom-beacon.mit.edu@XX.LCS.MIT.EDU
Resent-From: Nick Papadakis <nick@ZERMATT.LCS.MIT.EDU>
Resent-Date: Sun, 6 Nov 88 17:50 EST
Resent-Message-ID: <19881106225050.6.NICK@INTERLAKEN.LCS.MIT.EDU>


In article <1776@crete.cs.glasgow.ac.uk> Gilbert Cockton writes:
>
>In a previous article, Ray Allis writes:
>>If AI is to make progress toward machines with common sense, we
>>should first rectify the preposterous inverted notion that AI is
>>somehow a subset of computer science,
>Nothing preposterous at all about this.  AI is about applications of
>computers, and you can't sensibly apply computers without using computer
>science.

All that this shows is that AI has a non-null intersection with CS,
not that it is a subset of it.

>  Many people would be happy if AI boy scouts came down
>from their technological utopian fantasies and addressed the sensible
>problem of optimising human-computer task allocation in a humble,
>disciplined and well-focussed manner.

Many people would have been happier (in the short term) if James
Watt had stopped his useless playing with kettles and gone out and got
a real job.

>There are tasks in the world.  Computers can assist some of these
>tasks, but not others.  Understanding why this is the case lies at the
>heart of proper human-machine system design.  The problem with hard AI is
>that it doesn't want to know that a real division between automatable
>and unautomatable tasks does exist in practice.  

You seem to believe that this boundary is fixed.  Well, it will be
unless people work on moving it.

>  Why are so
>many AI workers so damned ignorant of the problems with
>operationalising definitions of intelligence, as borne out by nearly a
>century of psychometrics here? 

There was a time when philosophers concerned themselves with
questions such as whether magnets move towards each other out
of love or against their will.  Why were those who wanted instead to
measure forces so damned ignorant of the problems with the
philosophical approach?   Maybe they weren't, and that's *why* they
preferred to measure forces.

>Common sense is a labelling activity
>for beliefs which are assumed to be common within a (sub)culture.

Partially.

>Such social constructs cannot have a machine embodiment, nor can any

Cannot? Why not?  "Do not at present" I would accept.

>The minute words like common sense and intelligence are used, the 
>relevant discipline becomes the sociology of knowledge.

*A* relevent discipline.  AI is at present more concerned with the
structure and machine implementation of common sense than with its
detailed content.  

-David West            dhw%iti@umix.cc.umich.edu
		       {uunet,rutgers,ames}!umix!itivax!dhw
CDSL, Industrial Technology Institute, PO Box 1485, 
Ann Arbor, MI 48106