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A discussion of a report by Ehud Shapiro
Author(s) -
Banerji Ranan B.
Publication year - 1987
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.1987.tb00216.x
Subject(s) - computer science , benchmark (surveying) , artificial intelligence , field (mathematics) , term (time) , foundation (evidence) , machine learning , cognitive science , psychology , mathematics , history , physics , geodesy , archaeology , quantum mechanics , pure mathematics , geography
The paper is an annotated summary of Ehud Shapiro's report, “The Induction of Theories from Facts.” In the view of this author, Shapiro's report forms a very good foundation for work in the field of learning. It gives a clear definition of the term “learning” in a way which both is intuitively acceptable and renders learning algorithms amenable to precise analysis. It also establishes a paradigm for learning algorithms which is precise enough that it can serve as a benchmark for future development as well as for the analysis of presently available algorithms.