Trending Bestseller

Inside Multi-Media Case Based Instruction

No reviews yet Write a Review
Hardback
01 June 1998
$445.98
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:
The fourth in the Inside series, this volume includes four theses completed under the editor's direction at the Institute for the Learning Sciences at Northwestern University. This series bridges the gap between Schank's books introducing (for a popular audience) the theories behind his work in artificial intelligence (AI) and the many articles and books written by Schank and other AI researchers for their colleagues and students. The series will be of interest to graduate students in AI and professionals in other academic fields who seek the retraining necessary to join the AI effort or to understand it at the professional level.
This volume elaborates the Case-Based Teaching Architecture. A central tenet of this architecture is the importance of acquiring cases, and being able to retrieve and use those cases to solve new problems. The theses address the problems of building case bases, indexing large amounts of data contained within those case bases, and retrieving information on a need-to-know basis. They also reflect the work of researchers at the Institute to design tools that enable software programs to be built more effectively and efficiently.

You Can Find This Title In

    Product Details
    ISBN-13
    9780805825374
    Author
    Roger C. Schank
    Publisher
    Taylor & Francis Ltd
    Published
    01 June 1998
    Format
    Hardback

    This product hasn't received any reviews yet. Be the first to review this product!

    $445.98
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Inside Multi-Media Case Based Instruction

    $445.98

    Description

    The fourth in the Inside series, this volume includes four theses completed under the editor's direction at the Institute for the Learning Sciences at Northwestern University. This series bridges the gap between Schank's books introducing (for a popular audience) the theories behind his work in artificial intelligence (AI) and the many articles and books written by Schank and other AI researchers for their colleagues and students. The series will be of interest to graduate students in AI and professionals in other academic fields who seek the retraining necessary to join the AI effort or to understand it at the professional level.
    This volume elaborates the Case-Based Teaching Architecture. A central tenet of this architecture is the importance of acquiring cases, and being able to retrieve and use those cases to solve new problems. The theses address the problems of building case bases, indexing large amounts of data contained within those case bases, and retrieving information on a need-to-know basis. They also reflect the work of researchers at the Institute to design tools that enable software programs to be built more effectively and efficiently.

    You Can Find This Title In

      This Title Is Categorised As