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Book review: Inductive Logic Programming: From Machine Learning to Software Engineering by Francisco Bergadano and Daniele Gunetti (MIT Press, 1995)
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Source ACM SIGART Bulletin archive
Volume 9 ,  Issue 1  (June 1998) table of contents
Pages: 43 - 44  
Year of Publication: 1998
ISSN:0163-5719
Reviewer
J. R. E. Hodgeon  Saint Joseph's University Philadelphia, PA 19131 jhodgson@sjuphil.qu.edu
Publisher
ACM  New York, NY, USA
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ABSTRACT

Suppose that you want to use your intelligent programmer's assistant to write a program, for example, one that will insert elements into a balanced binary tree. One way you could proceed would be to provide your assistant with a complete specification for the program. This is the approach, influenced by the "water-fall model," taken in classical software engineering. But here is another idea. You give your assistant some examples of how you want the program to work, and ask him to write the program. If the assistant is a bright undergraduate, the examples should be enough. What if the assistant is itself a program?