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Titlebook: Knowledge Representation and Relation Nets; Aletta E. Geldenhuys,Hendrik O. Rooyen,Franz Stett Book 1999 Springer Science+Business Media N

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發(fā)表于 2025-3-21 16:40:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Knowledge Representation and Relation Nets
編輯Aletta E. Geldenhuys,Hendrik O. Rooyen,Franz Stett
視頻videohttp://file.papertrans.cn/545/544026/544026.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Knowledge Representation and Relation Nets;  Aletta E. Geldenhuys,Hendrik O. Rooyen,Franz Stett Book 1999 Springer Science+Business Media N
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
關(guān)鍵詞cognitive science; control; knowledge; knowledge representation; learning; mathematics; modeling; problem s
版次1
doihttps://doi.org/10.1007/978-1-4615-4054-0
isbn_softcover978-1-4613-6815-1
isbn_ebook978-1-4615-4054-0Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 1999
The information of publication is updating

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發(fā)表于 2025-3-21 23:13:08 | 只看該作者
Cascades, Formal Schemas, and Derivabilityelevant techniques for associative searches in a CNR-net, namely fast access and limited access cascades, are defined. The first models intuitive thinking processes, and the latter deductive thinking processes. Next we put some simple constraints on the definition of a CNR-net to produce a structure
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Presentation Strategies for CRKS’s tuples basis and briefly indicate its potential use, we give details of two versions of Menger’s theorem in a CRKS, we define and examine the hypergraph associated with a CRKS, we introduce the notion of deductive complexity in a CRKS, with an example, and we discuss a version of the spiral approac
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Models of Reasoning. Inductive and deductive reasoning are dealt with by means of chains of cascades in a CRKS, while intuitive reasoning is associated with invariance of analogically related structures. Associative and constructive reasoning represent the opposite extremes of the models, and are described in terms of
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發(fā)表于 2025-3-23 03:53:20 | 只看該作者
An Example of a CRKSath in that CRKS is in fact a derivation path, by analyzing every path. In the process we show how hypotheses are introduced and then immediately eliminated, and produce one possible hierarchy of nested sub-CRKS’s for the presentation of this knowledge. We indicate how to produce one other hierarchi
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發(fā)表于 2025-3-23 06:11:11 | 只看該作者
Introduction to the Theory of Relation Netskground theory from part of which CRKS theory arises. CRKS theory is the justification for the inclusion of this material. We begin with the general definition of a relation net, and give some other basic definitions. We then present a simple example in order to illustrate some properties of relatio
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