Hostname: page-component-7bb8b95d7b-l4ctd Total loading time: 0 Render date: 2024-09-24T00:15:14.689Z Has data issue: false hasContentIssue false

Some comments on rule induction

Published online by Cambridge University Press:  07 July 2009

Ivan Bratko
Affiliation:
Kardelj University, Josef Stefan Institute, Ljubljana, Yugoslavia
Donald Michie
Affiliation:
The Turing Institute, Glasgow, UK

Abstract

Computer induction is discussed in the light of concerns recently expressed by Bloomfield about the use of such algorithms in expert systems construction.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1987

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

A-Razzak, M., Hassan, T. and Ahmad, A. (1986) ExTran 7.2 User Manual, Glasgow: Intelligent Terminals Ltd.Google Scholar
Bratko, I. and Kononenko, I. (1986) Learning diagnostic rules from incomplete and noisy data. Proc. UNICOM Seminar on The Scope of AI in Statistics (ed. Phelps, B.). To be published in book form by Technical Press.Google Scholar
Chilausky, R.L., Jacobson, B. and Michalski, R.S. (1976). An application of variable-valued logic to inductive learning of plant disease diagnostic rules. Proc. VI Internat. Symp. on Multi-Variable Logic, Utah.Google Scholar
McLaren, R. (1984) Expert-Ease User Manual, Glasgow: Intelligent Terminals Ltd.Google Scholar
Michalski, R.S. and Chilausky, R.L. (1980) Learning by being told and learning by examples: an experimental comparison of the two methods of knowledge acquisition in the context of developing an expert system for soybean disease diagnosis. Int. J. of Policy Analysis and Inf. Systems, 4, 125161.Google Scholar
Michie, D. (1986a) Current developments in expert systems. Proc. 2nd Austr. Conf. on Applications of Expert Systems, Sydney, 163182. Also to appear in book form: Applications of Expert Systems (Ed. Quinlan, J.R.), Wokingham: Addison-Wesley.Google Scholar
Michie, D. (1986b) The superarticulacy phenomenon in the context of software manufacture. Proc. Roy. Soc. (A) 405, 185212.Google Scholar
Michie, D. (1986c) Towards a knowledge accelerator. Advances in Computer Chess 4 (Ed. Beal, D.), Oxford: Pergamon Press; also reproduced as Chapter 21 in On Machine Intelligence (2nd Edn), Chichester: Ellis Horwood, 1986.Google Scholar
Paterson, A., Niblett, T.B. and Shapiro, A., (1982) ACLS User Manual, Glasgow: Intelligent Terminals Ltd.Google Scholar
Quinlan, J.R. (1984) Learning efficient classification procedures and their application to chess and games. Machine Learning and Artificial Intelligence Approach (Eds. Michalski, R.S., Carbonell, J.G. and Mitchell, T. M.), Palo Alto, Ca: Tioga, 463482.Google Scholar
Quinlan, J.R. (1986a) Induction of Decision Trees. Machine Learning, 1 81106.CrossRefGoogle Scholar
Quinlan, J.R. (1986b) Simplifying decision trees. Working Paper, Cambridge, Mass: MIT AI Laboratory. To appear in Internat. J. Man-Mach. Studies.Google Scholar
Quinlan, J.R., Compton, P.J., Horn, K.A. and Lazarus, L. (1986) Inductive knowledge acquisition: a case study. Proc. 2nd Austr. Conf. on Applications of Expert Systems, Sydney, 183204. Also to appear in book form: Applications of Expert Systems (Ed. Quinlan, J.R.), Wokingham: Addison-Wesley.Google Scholar
Shapiro, A.D. and Michie, D. (1986) A self-commenting facility for inductively synthesised endgame expertise. Advances in Computer Chess 4, 147165.Google Scholar
Slocombe, S., Moore, K.D.M., and Zelouf, M. (1986), Engineering expert system applications. Delivered at the British Computer Society Annual Conference, Brighton. Typescript available from K.D.M. Moore, BP Ltd, Britannic House, London.Google Scholar