This book is the latest volume in a series of texts documenting the collaboration between the Turing Institute and the Japan Society for Artificial Intelligence, and stems from a workshop held in 1992. The text discusses machine learning as a practical tool in engineering disciplines, and as a material for new mental models in human sciences. Editor(s): Michie, D.; Muggleton, S. Series: Machine Intelligence. Num Pages: 488 pages, line figures, tables. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 241 x 161 x 34. Weight in Grams: 928. . 1994. hardcover. . . . .

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Bibliographic Details

Title: Machine Intelligence 13: Machine Intelligence and Inductive Learning
Publisher: Clarendon Press
Publication Date: 1994
Language: English
ISBN 10: 0198538502
ISBN 13: 9780198538509
Binding: Hardcover
Condition: New

About this title

Synopsis

Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cognitive models of the human brain. Based on the Machine Intelligence Workshop of 1992, held at Strathclyde University in Scotland, the book brings together numerous papers from some of the field's leading researchers to discuss current theoretical and practical issues. Highlights include a chapter by J.A. Robinson--the founder of modern computational logic--on the field's great forefathers John von Neumann and Alan Turing, and a chapter by Stephen Muggleton that analyzes Turing's legacy in logic and machine learning. This thirteenth volume in the renowned Machine Intelligence series remains the best source of information for the latest developments in the field. All students and researchers in artificial intelligence and machine learning will want to own a copy.

About the Author

K. Furukawa is at Keio University, Tokyo. D. Michie is at Turing Institute, Glasgow.

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