Description: Knowledge Representation and Relation Nets by Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Details ISBN 1461368154 ISBN-13 9781461368151 Title Knowledge Representation and Relation Nets Author Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter Format Paperback Year 2012 Pages 279 Publisher Springer-Verlag New York Inc. GE_Item_ID:137806660; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 189.14 USD
Location: Fairfield, Ohio
End Time: 2024-12-27T03:40:29.000Z
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Restocking Fee: No
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ISBN-13: 9781461368151
Book Title: Knowledge Representation and Relation Nets
Number of Pages: Xi, 279 Pages
Language: English
Publication Name: Knowledge Representation and Relation Nets
Publisher: Springer
Item Height: 0.2 in
Publication Year: 2012
Subject: Epistemology, Expert Systems, Intelligence (Ai) & Semantics
Type: Textbook
Item Weight: 16.1 Oz
Author: Hendrik O. Van Rooyen, Franz Stetter, Aletta E. Geldenhuys
Subject Area: Philosophy, Computers
Item Length: 9.3 in
Item Width: 6.1 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Trade Paperback