FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Knowledge Representation and Relation Nets

Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter
    Product form
      FORMAT: Hardback

      R 4,652.67 Price and availability exclusive to website

      YOU COULD EARN 4,652.67 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 775.44 per month!
      3x monthly payments of R 1,550.89 with
      4x fortnightly payments of R 1,163.16 with
      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.
      Format: CONTRIBUTORS: Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter EAN: 9780792385172 COUNTRY: Netherlands PAGES: WEIGHT: 1310 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 1999-05-31 CITY: GENRE: COMPUTERS / Artificial Intelligence / General WIDTH: 155 cm SPINE:

      Book Themes:

      Artificial intelligence

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      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.
      Format: CONTRIBUTORS: Aletta E. Geldenhuys, Hendrik O. van Rooyen, Franz Stetter EAN: 9780792385172 COUNTRY: Netherlands PAGES: WEIGHT: 1310 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 1999-05-31 CITY: GENRE: COMPUTERS / Artificial Intelligence / General WIDTH: 155 cm SPINE:

      Book Themes:

      Artificial intelligence

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account