9780792385172 - knowledge representation and relation nets (the springer international series in engineering and computer science, 506, band 506) von geldenhuys, aletta e.; van rooyen, hendrik o.; stetter, franz (5 Ergebnisse)
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780792385172.
Knowledge Representation and Relation Nets (The Springer International Series in Engineering and Computer Science, 506)
Geldenhuys, Aletta E.; Van Rooyen, Hendrik O.; Stetter, Franz
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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Zustand: New. In.
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EUR 180,97
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Gebunden. Zustand: New. 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 de.
Knowledge Representation and Relation Nets
Geldenhuys, Aletta E.; van Rooyen, Hendrik O.; Stetter, Franz
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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Zustand: New. Introduces a fresh approach to knowledge representation that can be used to organize study material in a convenient, teachable and learnable form. This book is suitable for teachers, courseware designers and researchers in knowledge representation, cognitive science, theories of learning, the psychology of educatio…n, and structural modeling. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 279 pages, biography. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 1310. . 1999. Hardback. . . . . Books ship from the US and Ireland.
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Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 223,29
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Buch. Zustand: Neu. Neuware - 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 con…cepts 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.


