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Machine Intelligence 13:Machine Intelligence and Inductive Learning (Machine Intelligence, Vol.13) '94

Furukawa, K., Michie, D., Muggleton, S. 　編

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発行年月	1994年08月
出版社／提供元	Oxford at the Clarendon Press
出版国	イギリス
言語	英語
媒体	冊子
装丁	hardcover
ページ数／巻数	488 p., line figures, tables
ジャンル	洋書／理工学／情報科学／人工知能
ISBN	9780198538509
商品コード	0209430008
商品URL	https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=0209430008

内容

The 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.

1. Logic, Computers, Turing, and von Neumann; 2. Logic and Learning:Turing's Legacy; 3. A Generalization of the Least Generalization; 4. TheJustification of Logical Theories based on Data Compression; 5. UtilizingStructure Information in Concept Formation; 6. The Discovery of Propositionsin Noisy Data; 7. Learning Non-deterministic Finite Automata from Queries andCounterexamples; 8. Machine Learning and Biomolecular Modelling; 9. More thanMeets the eye: Animal Learning and Knowledge Induction; 10. Regulation ofHuman Cognition and its growth; 11. Large Heterogeneous Knowledge Basis; 12.Learning Optimal Chess Strategies; 13. A Comparative Study of ClassificationAlgorithms; 14. Recent Progress with BOXES; 15. Building SymbolicRepresentations of Intuitive 0.00-time Skills from Performance Data; 16.Learning Perceptually Chunked Macro Operators; 17. Inductively Speeding upLogic Programs

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