Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!seismo!rutgers!sri-spam!ames!ucbcad!ucbvax!NUSVM.BITNET!ISCLIMEL From: ISCLIMEL@NUSVM.BITNET (Jenny) Newsgroups: comp.ai.digest Subject: so what about plausible reasoning ? Message-ID: <8706300554.AA22179@ucbvax.Berkeley.EDU> Date: Tue, 30-Jun-87 02:40:44 EDT Article-I.D.: ucbvax.8706300554.AA22179 Posted: Tue Jun 30 02:40:44 1987 Date-Received: Sat, 4-Jul-87 18:33:01 EDT Sender: daemon@ucbvax.BERKELEY.EDU Distribution: world Organization: The ARPA Internet Lines: 17 Approved: ailist@stripe.sri.com As I read articles on plausible reasoning in expert systems, I come to the conclusion that experts themselves do not exactly work with numbers as they solve problems. And many of them are not willing to commit themselves into specifying a figure to signify their belief in a rule. The deductive process that occurs in their brain can never be replicated by any known plausible reasoning models. The expert system technology is already a weak one per se, why introduce further complexity and more bottleneck in the acquisition of knowledge, knowing fully well that the numbers are probably inconsistent ? If one obtains two conclusions with numbers indicating some significance, say 75 % and 80 %, can one say that the conclusion with 80% significance is the correct conclusion and ignore the other one ? These numbers do not seem to mean much since they are just beliefs or probabilties. Lim Eng-Lian National University of Singapore -- this opinion is my own and is not influenced by the color of my office