Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.3 4.3bsd-beta 6/6/85; site ucbvax.BERKELEY.EDU Path: utzoo!decvax!bellcore!ulysses!ucbvax!ailist From: j_eggen%vax.runit.unit.uninett@NTA-VAX.ARPA (Jorun Eggen) Newsgroups: mod.ai Subject: Expert Systems and Software Engineering Message-ID: <13:j_eggen@vax.runit.unit.uninett> Date: Fri, 21-Feb-86 05:54:43 EST Article-I.D.: vax.13:j_eggen Posted: Fri Feb 21 05:54:43 1986 Date-Received: Sat, 22-Feb-86 10:27:38 EST Sender: daemon@ucbvax.BERKELEY.EDU Organization: The ARPA Internet Lines: 21 Approved: ailist@sri-ai.arpa From: Jorun Eggen Hello out there! Can anyone give me references to work carried out in order to see what theory, methodologies and tools from Software Engineering can do to assist the process of building expert systems? Or to put it another way: Is Knowledge Acquisition today at the same level as Software Engineering was 20 years ago? If the answer is yes, what can we learn from Software Engineering to help us to provide reinventing the wheel and instead consentrate on the new unsolved problems? References to articles, reports, people, books etc. are welcome. Thanks a lot, and be aware that my net-address "uninett" is spelled with double t. Jorun Eggen RUNIT/SINTEF N-7034 Trondheim-NTH NORWAY