Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!linus!philabs!cmcl2!floyd!harpo!utah-cs!shebs From: shebs@utah-cs.UUCP (Stanley Shebs) Newsgroups: net.ai Subject: Re: RE: Expert Systems Message-ID: <2279@utah-cs.UUCP> Date: Fri, 2-Dec-83 18:27:43 EST Article-I.D.: utah-cs.2279 Posted: Fri Dec 2 18:27:43 1983 Date-Received: Sun, 4-Dec-83 05:17:15 EST References: ncsu.2420 Lines: 14 A large data-processing application is not an expert system because it cannot explain its action, nor is the knowledge represented in an adequate fashion. A "true" expert system would *not* consist of algorithms as such. It would consist of facts and heuristics organized in a fashion to permit some (relatively uninteresting) algorithmic interpreter to generate interesting and useful behavior. Production systems are a good example. The interpreter is fixed - it just selects rules and fires them. The expert system itself is a collection of rules, each of which represents a small piece of knowledge about the domain. This is of course an idealization - many "expert systems" have a large procedural component. Sometimes the existence of that component can even be justified... stan shebs utah-cs!shebs