Machine Intelligence 13: Machine Intelligence and Inductive Learning [Hardcover]

K. Furukawa (Editor), D. Michie (Editor), S. Muggleton (Editor)

Book Description

ISBN-10: 0198538502 | ISBN-13: 978-0198538509 | Publication Date: October 13, 1994

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.

Editorial Reviews

Review

the current volume maintains the high standards set by its predecessors... authored by distinguished researchers... Endeavour

About the Author

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

Product Details

• Hardcover: 488 pages
• Publisher: Oxford University Press, USA (October 13, 1994)
• Language: English
• ISBN-10: 0198538502
• ISBN-13: 978-0198538509
• Product Dimensions: 9.6 x 6.4 x 1.3 inches
• Shipping Weight: 2 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #5,813,573 in Books (See Top 100 in Books)