Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!zaphod.mps.ohio-state.edu!usc!ucsd!ucbvax!bloom-beacon!eru!luth!sunic!mcsun!unido!uklirb!shell From: sticklen@cps.msu.edu (Jon Sticklen) Newsgroups: comp.ai.shells Subject: Re: Knowledge Acquisition a Shame! Message-ID: <6029@uklirb.informatik.uni-kl.de> Date: 2 Jul 90 16:56:32 GMT References: <5993@uklirb.informatik.uni-kl.de> Sender: shell@uklirb.informatik.uni-kl.de Organization: Michigan State University Lines: 21 Approved: shell@informatik.uni-kl.de Posted-Date: Wed Jul 4 09:45:59 GMT 1990 In <5993@uklirb.informatik.uni-kl.de> jej@chinet.chi.il.us (joe jesson) writes: > > I work for a large company and recently been reviewing KA packages for > commercial use - what a joke. The maturity of such tools leave a great deal > to be desired and have been an academic exercise. The Knowledge-based tools > include Acquinas, Salt (if you want to hire Boeing Consultants, fine, if not > forget it), etc. > > Most of the tools discussed by Gaines, Boose, et. al. have never stood up to > commercial use and is generally useless as a development tool. For cetain > classes of problems (diagnostic), decision trees are of practical use and > induction tools represent a _starting_ point. .. it would be really useful to the community if the shortcomings could be enumerated. ie, what things did you need that current tools did not give you? ---jon---