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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
