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Knowledge Representation and Relation Nets (The Springer International Series in Engineering and Computer Science, 506)

Knowledge Representation and Relation Nets (The Springer International Series in Engineering and Computer Science, 506)

Knowledge Representation and Relation Nets (The Springer International Series in
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Knowledge Representation and Relation Nets (The Springer International Series in Engineering and Computer Science, 506) Hardback - 1999 - 1999th Edition

by Stetter, Franz

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  • Title Knowledge Representation and Relation Nets (The Springer International Series in Engineering and Computer Science, 506)
  • Author Stetter, Franz
  • Binding Hardback
  • Edition number 1999th
  • Edition 1999
  • Condition Used - Good
  • Pages 279
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1999-05-31
  • Bookseller's Inventory # 0792385179.G
  • ISBN 9780792385172 / 0792385179
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9.21 x 6.14 x 0.69 in (23.39 x 15.60 x 1.75 cm)
  • Category Computers - Other Applications
  • Library of Congress Catalogue Number 99025853
  • Dewey Decimal Code 006.63
  • Quantity available 1

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From the publisher

Knowledge Representation and Relation Nets introduces a fresh approach to knowledge representation that can be used to organize study material in a convenient, teachable and learnable form. The method extends and formalizes concept mapping by developing knowledge representation as a structure of concepts and the relationships among them. Such a formal description of analogy results in a controlled method of modeling new' knowledge in terms of existing' knowledge in teaching and learning situations, and its applications result in a consistent and well-organized approach to problem solving. Additionally, strategies for the presentation of study material to learners arise naturally in this representation.
While the theory of relation nets is dealt with in detail in part of this book, the reader need not master the formal mathematics in order to apply the theory to this method of knowledge representation. To assist the reader, each chapter starts with a brief summary, and the main ideas are illustrated by examples. The reader is also given an intuitive view of the formal notions used in the applications by means of diagrams, informal descriptions, and simple sets of construction rules.
Knowledge Representation and Relation Nets is an excellent source for teachers, courseware designers and researchers in knowledge representation, cognitive science, theories of learning, the psychology of education, and structural modeling.

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