Knowledge Representation and Relation Nets:
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...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1999
|
| Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science
506 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 279 p) |
| ISBN: | 9781461540540 |
| DOI: | 10.1007/978-1-4615-4054-0 |
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| discipline | Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:59Z |
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| isbn | 9781461540540 |
| language | English |
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| spelling | Geldenhuys, Aletta E. Verfasser aut Knowledge Representation and Relation Nets by Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter Boston, MA Springer US 1999 1 Online-Ressource (XI, 279 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science 506 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 Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Rooyen, Hendrik O. van aut Stetter, Franz aut Erscheint auch als Druck-Ausgabe 9781461368151 https://doi.org/10.1007/978-1-4615-4054-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Geldenhuys, Aletta E. Rooyen, Hendrik O. van Stetter, Franz Knowledge Representation and Relation Nets Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence |
| title | Knowledge Representation and Relation Nets |
| title_auth | Knowledge Representation and Relation Nets |
| title_exact_search | Knowledge Representation and Relation Nets |
| title_full | Knowledge Representation and Relation Nets by Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter |
| title_fullStr | Knowledge Representation and Relation Nets by Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter |
| title_full_unstemmed | Knowledge Representation and Relation Nets by Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter |
| title_short | Knowledge Representation and Relation Nets |
| title_sort | knowledge representation and relation nets |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence |
| url | https://doi.org/10.1007/978-1-4615-4054-0 |
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