Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!seismo!lll-lcc!styx!ames!ucbcad!ucbvax!AWIWUW11.BITNET!ADELSBER From: ADELSBER@AWIWUW11.BITNET Newsgroups: comp.ai.digest Subject: performance of rule-based systems Message-ID: <8705032116.AA28907@ucbvax.Berkeley.EDU> Date: Sun, 3-May-87 17:16:45 EDT Article-I.D.: ucbvax.8705032116.AA28907 Posted: Sun May 3 17:16:45 1987 Date-Received: Sun, 3-May-87 22:02:21 EDT Sender: daemon@ucbvax.BERKELEY.EDU Distribution: world Organization: The ARPA Internet Lines: 21 Approved: ailist@stripe.sri.com subject: performance of rule-based systems I am currently working on a methodology for defining the performance of rule-based expert systems. I would like to discuss and to compare the performance of different inference-strategies. To get comparable results it seems to me important to classify and to evaluate different rule- representations and to find a measure for specific rule-bases. This measure should include attributes like complexity, granularity, depth etc. A main goal of this work is to find a method for the selection of the best representation and inference strategy for a specific kind of rule-based knowledge. Is there anybody working on the same object ? I would be thankful for hints, information and (or) references. Marcus Oppitz, Technical University Vienna Please send your answer to vipvax!marcus%tuvie.uucp@cernvax (marcus oppitz) or adelsber at awiwuw11 (bitnet)