Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!bu.edu!nntp-xfer.bu.edu!jasko From: jasko@kenmore.bu.edu (John V. Jaskolski) Newsgroups: comp.ai Subject: Looking for heuristics for building expert system rule-bases Message-ID: Date: 1 Apr 91 18:01:01 GMT Sender: news@bu.edu.bu.edu Distribution: comp Organization: Boston University Center for Adaptive Systems Lines: 11 I am looking for a good source of heuristics for building expert system rule-bases. Specifically, I am looking for articles or textbooks which outline the logical heuristics that a "Knowledge Engineer" employs when building a rule-base from a set of data. For example, does the knowledge engineer attempt to come up with the minimal set of maximally inductive rules which accommodate the data and perform the desired task? i.e., What are the constraints that go into building a rule-base; What defines a good rule-base? etc.. I am building a rule-base for the first time and I am wondering if there is a way of assuring some sort of near-optimality.