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Author Hayes-Roth, Frederick ♦ McDermott, John
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Keyword Partial matching ♦ Knowledge acquisition ♦ Rule induction ♦ Induction ♦ Interference ♦ Knowledge representation ♦ Informal retrieval ♦ Abstraction ♦ Generalization ♦ Predicate discovery ♦ Language learning ♦ Complexity ♦ Learning ♦ Graph matching
Abstract A method for inducing knowledge by abstraction from a sequence of training examples is described. The proposed method, interference matching, induces abstractions by finding relational properties common to two or more exemplars. Three tasks solved by a program that uses an interference-matching algorithm are presented. Several problems concerning the description of the training examples and the adequacy of interference matching are discussed, and directions for future research are considered.
Description Affiliation: Carnegie-Mellon Univ., Pittsburgh, PA (McDermott, John) || The RAND Corporation, Santa Monica, CA (Hayes-Roth, Frederick)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 21
Issue Number 5
Page Count 11
Starting Page 401
Ending Page 411

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Source: ACM Digital Library