书目名称 | Knowledge Representation and Relation Nets |
编辑 | Aletta E. Geldenhuys,Hendrik O. Rooyen,Franz Stett |
视频video | http://file.papertrans.cn/545/544026/544026.mp4 |
丛书名称 | The Springer International Series in Engineering and Computer Science |
图书封面 |  |
描述 | .Knowledge Representation and Relation Nets. introduces afresh approach to knowledge representation that can be used toorganize study material in a convenient, teachable and learnable form.The method extends and formalizes concept mapping by developingknowledge representation as a structure of concepts and therelationships among them. Such a formal description of analogy resultsin a controlled method of modeling `new‘ knowledge in terms of`existing‘ knowledge in teaching and learning situations, and itsapplications result in a consistent and well-organized approach toproblem solving. Additionally, strategies for the presentation ofstudy material to learners arise naturally in this representation..While the theory of relation nets is dealt with in detail in part ofthis book, the reader need not master the formal mathematics in orderto apply the theory to this method of knowledge representation. Toassist the reader, each chapter starts with a brief summary, and themain ideas are illustrated by examples. The reader is also given anintuitive view of the formal notions used in the applications by meansof diagrams, informal descriptions, and simple sets of constructionrules. ..Knowledge |
出版日期 | Book 1999 |
关键词 | cognitive science; control; knowledge; knowledge representation; learning; mathematics; modeling; problem s |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4615-4054-0 |
isbn_softcover | 978-1-4613-6815-1 |
isbn_ebook | 978-1-4615-4054-0Series ISSN 0893-3405 |
issn_series | 0893-3405 |
copyright | Springer Science+Business Media New York 1999 |