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OverviewThe founder of modern computational logic, J A Robinson, opens this volume with a chapter on the firld's great forefathers John van Neumann and Alan Turing. Stephen Muggleton follows with an analysis of Turing's legacy in logic and machine learning, conceiving these not in generality but as specific means of imparting knowledge into computers, a theme first articulated by Turing in the late 1940s.The present volume records the Machine Intelligence Workshop of 1992, held at Strathclyde University's Ross Priory retreat on Loch Lomond, Scotland. Here the series entered not only its second quarter-century but a new phase. As can be seen in these pages, machine learning emerged to declare itself as a seed-bed of new theory, as a practical tool in engineering disciplines, and as material for new mental models in human sciences. Full Product DetailsAuthor: K. Furukawa (Professor, Professor, Keio University, Tokyo) , D. Michie (Professor, Professor, Turing Institute, Glasgow) , S. Muggleton (, Oxford University Computing Laboratory) , D. Michie (Professor, Turing Institute, Glasgow, Scotland)Publisher: Oxford University Press Imprint: Clarendon Press Volume: 13 Dimensions: Width: 16.10cm , Height: 3.40cm , Length: 24.10cm Weight: 0.928kg ISBN: 9780198538509ISBN 10: 0198538502 Pages: 488 Publication Date: 25 August 1994 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: To order ![]() Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of Contents1. Logic, Computers, Turing, and von Neumann ; 2. Logic and Learning: Turing's Legacy ; 3. A Generalization of the Least Generalization ; 4. The Justification of Logical Theories based on Data Compression ; 5. Utilizing Structure Information in Concept Formation ; 6. The Discovery of Propositions in Noisy Data ; 7. Learning Non-deterministic Finite Automata from Queries and Counterexamples ; 8. Machine Learning and Biomolecular Modelling ; 9. More than Meets the eye: Animal Learning and Knowledge Induction ; 10. Regulation of Human Cognition and its growth ; 11. Large Heterogeneous Knowledge Basis ; 12. Learning Optimal Chess Strategies ; 13. A Comparative Study of Classification Algorithms ; 14. Recent Progress with BOXES ; 15. Building Symbolic Representations of Intuitive 0.00-time Skills from Performance Data ; 16. Learning Perceptually Chunked Macro Operators ; 17. Inductively Speeding up Logic ProgramsReviewsthe current volume maintains the high standards set by its predecessors... authored by distinguished researchers... Endeavour Author InformationTab Content 6Author Website:Countries AvailableAll regions |