Overview

Machine Intelligence 14 contains material presented at the Anglo-Janpanese workshop of Novemver 1993 held at the Hitachi Research Laboratory. It marks the 70th birthday of Donald Michie, the founder of the series. The contents is divided into the following subjects: complex decision taking, inductive logic programming, applied machine learning, dynamic control, and computational learning theory. Applications include controlling a steel mill, discovery of protein structural constraints, and qualitative control for dynamic systems.

Full Product Details

Author:   K. Furukawa (Professor, Professor, Keio University, Tokyo) ,  D. Michie (Emeritus Professor, Emeritus Professor, University of Edinburgh) ,  S. Muggleton (, Oxford University Computing Laboratory) ,  S. Muggleton (Oxford University Computing Laboratory, Oxford)
Publisher:   Oxford University Press
Imprint:   Clarendon Press
Volume:   Vol 14
Dimensions:   Width: 16.10cm , Height: 3.10cm , Length: 24.20cm
Weight:   0.859kg
ISBN:  

9780198538608

ISBN 10:   019853860
Pages:   470
Publication Date:   18 April 1996
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
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Table of Contents

1. Game mastery and intelligence ; 2. Reacting, planning, and learning in an autonomous agent ; 3. Multi-entity models ; 4. Putting knowledge rich plan represetnations to use ; 5. On dealing with dynamic utility of learned knowledge ; 6. Inverting entailment and progol ; 7. Learning logic programs and regularities from examples by inductive inference ; 8. Variations and local exceptions in inductive logic programming ; 9. Inductive logic programming with large-scale unstructured data ; 10. Discovery of protein structural constraints in a deductive database using inductive logic programming ; 11. Controlling a steel mill with BOXES ; 12. A reasoning system for legal analogy ; 13. Concept learning algorithm with adaptive search ; 14. Deriving qualitative control for dynamic systems ; 15. Behavioural clones and cognitive skill models ; 16. A classification of abduction: abduction for logic programming ; 17. Efficient algorithms for inductive learning - an application of multi-linear functions to inductive learning

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