dg1v+@ANDREW.CMU.EDU (David Greene) (06/20/88)
Date: Fri, 17 Jun 88 09:15 EDT From: David Greene <dg1v+@andrew.cmu.edu> To: ailist@kl.sri.com Subject: Re: Cognitive AI vs Expert Systems (was Re: Me, Karl, Stephen, Gilbert) In-Reply-To: <digest.cWiAujy00Ukc40RHNs@andrew.cmu.edu> In article <digest.cWiAujy00Ukc40RHNs@andrew.cmu.edu> krulwich-bruce@yale-zoo.arpa (Bruce Krulwich) writes: >This says something about expert systems papers, not about papers >discussing serious attempts at modelling intelligence. It is wrong to >assume (as both you and Mr. Cockton are) that the expert system >work typical of the business world (in other words, applications >programs) is at all similar to work done by researchers investigating >serious intelligence. (See work on case based reasoning, >explanation based learning, expectation based processing, plan >transformation, and constraint based reasoning, to name a few areas.) Since my researchs concerns developing knowledge acquisition approaches (via machine learning) to address real world environments, I'm well aquainted with not only the above literature, but psych, cog psych, JDM (judgement and decision making), and BDT (behavioral decision theory). While I suspect AI researchers who work in Expert System might resent being excluded from work in "serious intelligence", I think my point is that, for a given phenomena, multiple viewpoints from different disciplines (literature) can provide important breadth and insights. Not an earth shattering assumption I admit, but then again, if you examine work in the fields you suggested, you'll frequently find a very narrow scope of references. Many of the papers I was describing come from various learning approaches to knowledge acquisition (eg. Workshop on Knowledge Acquisition for Knowledge Based Systems). @admittedsarcasm(Perhaps this was an unfortunate example since these indidviduals don't qualify as representative AI researchers.) Actually I think the proposition is that it would be encouraging to see more AI lit reviews which offered some viewpoints from different fields... not only might they suggest new issues to address but they might also identify useable solutions to be transferred. - David Greene dg1v@andrew.cmu.edu