Accession Number : ADA292607

Title :   Applications of Machine Learning and Rule Induction,

Corporate Author : INSTITUTE FOR THE STUDY OF LEARNING AND EXPERTISE PALO ALTO CA

Personal Author(s) : Langley, Pat ; Simon, Herbert A.

PDF Url : ADA292607

Report Date : 15 FEB 1995

Pagination or Media Count : 20

Abstract : An important area of application for machine learning is in automating the acquisition of knowledge bases required for expert systems. In this paper, we review the major paradigms for machine learning, including neural networks, instance-based methods, genetic learning, rule induction, and analytic approaches. We consider rule induction in greater detail and review some of its recent applications, in each case stating the problem, how rule induction was used, and the status of the resulting expert system. In closing, we identify the main stages in fielding an applied learning system and draw some lessons from successful applications.

Descriptors :   *SYSTEMS ENGINEERING, *DATA ACQUISITION, *KNOWLEDGE BASED SYSTEMS, NEURAL NETS, ACQUISITION, MODELS, LEARNING MACHINES, ARTIFICIAL INTELLIGENCE, EXPERT SYSTEMS, LEARNING, GENETICS.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE