Machine Intelligence 14: Applied Machine Intelligence / Edition 14

Machine Intelligence 14: Applied Machine Intelligence / Edition 14

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

ISBN-10: 019853860X

ISBN-13: 9780198538608

Pub. Date: 04/28/1996

Publisher: Oxford University Press, USA

This 14th volume of the classic series on machine intelligence contains papers on complex decision taking, inductive logic programming, applied machine learning, dynamic control, and computational learning theory.
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Overview

This 14th volume of the classic series on machine intelligence contains papers on complex decision taking, inductive logic programming, applied machine learning, dynamic control, and computational learning theory.

Product Details

ISBN-13:
9780198538608
Publisher:
Oxford University Press, USA
Publication date:
04/28/1996
Pages:
472
Product dimensions:
6.38(w) x 9.50(h) x 1.20(d)

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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