Lecture Notes in Artificial Intelligence

Knowledge Representation and Organization in Machine Learning

Editors: Morik, Katharina (Ed.)

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About this book

Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject.

Table of contents (15 chapters)

  • Explanation: A source of guidance for knowledge representation

    Swartout, William R. (et al.)

    Pages 1-16

  • (Re)presentation issues in second generation expert systems

    Velde, Walter

    Pages 17-49

  • Some aspects of learning and reorganization in an analogical representation

    Mohnhaupt, Michael (et al.)

    Pages 50-64

  • A knowledge-intensive learning system for document retrieval

    Rada, Roy (et al.)

    Pages 65-87

  • Constructing expert systems as building mental models or toward a cognitive ontology for expert systems

    Littman, David

    Pages 88-106

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-540-46081-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-540-50768-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Knowledge Representation and Organization in Machine Learning
Editors
  • Katharina Morik
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
347
Copyright
1989
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-46081-7
DOI
10.1007/BFb0017213
Softcover ISBN
978-3-540-50768-0
Edition Number
1
Number of Pages
XVIII, 322
Topics