Machine Intelligence 14: Applied Machine Intelligence / Edition 14

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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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Product Details

  • ISBN-13: 9780198538608
  • Publisher: Oxford University Press, USA
  • Publication date: 4/28/1996
  • Edition number: 14
  • Pages: 472
  • Product dimensions: 6.38 (w) x 9.50 (h) x 1.20 (d)

Meet the Author

Keio University, Tokyo

University of Edinburgh

Oxford University Computing Laboratory

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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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