[Ailist] RE: Lean and AI

[Paul Chaffee]

Marvin,

I like the blended resolution you suggest for certain suggestions. And
to be sure AI and problem-solving can both start with dissatisfaction.

But remember that David Cooperrider's original frustration at the
Cleveland Clinic, where e was sent to improve personnel relations, was
that there were no problems to solve. And his doctoral professor asked
him to find out why. 

Years ago my relationship with my son didn't have any problems - but
when AI walked into our lives, that relationship went into overdrive and
stayed there and keeps growing. 

The goal I hope we all share is creating an appreciative culture which
takes advantage of the gifts and disciplines related to appreciation. 

Paul


-----Original Message-----
From: ailist-bounces at lists.business.utah.edu
[mailto:ailist-bounces at lists.business.utah.edu] On Behalf Of 'Marvin
Faure'
Sent: Friday, December 14, 2007 3:18 AM
To: 'Siegel, Steve'; 'Roger Davies'; 'Kat Morgan'; 'Robyn
Stratton-Berkessel'
Cc: ailist at lists.business.utah.edu
Subject: [Ailist] RE: Lean and AI


Steve,

I was interested to see your post that you are doing research in AI and
problem-solving. 

It seems to me that the starting point for AI and for problem-solving is
the
same: a situation that is at some level unsatisfactory. At one end of
the scale it is clearly a problem, at the other end it is an opportunity
to do or to "be" better (which is easily transformed into a problem to
solve).

The two approaches diverge, of course, as soon as the starting point and
focus for the project have been identified. 

Taking a practical consultant's standpoint (at the risk of sounding
heretical) I think that while there are many situations where better
results will be obtained through AI, there are certain situations that
might lend themselves better either to "pure" problem-solving or to a
blended approach that uses tools from both. Optimising manufacturing
processes may be one of these areas.

It would be wonderful if you were able to set up some really rigorous
research to identify the conditions most favourable to each approach.
I'm not aware of any such research already out there but asking this
list is probably a good place to start!

I'd be very pleased to exchange ideas on this topic as you proceed with
your research.

Kind regards,

Marvin



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