Dynamic Memory Revisited by Roger C. Schank

by Roger C. Schank

Roger Schank's influential book, Dynamic Memory, described how computers could learn based upon what was known about how people learn. Since that book's publication in 1982, Dr Schank has turned his focus from artificial intelligence to human intelligence. This book contains the theory of learning presented in the original book, extending it to provide principles for teaching and learning. It includes Dr Schank's important theory of case-based reasoning and assesses the role of stories in human memory. In addition, it covers his ideas on non-conscious learning, indexing, and the cognitive structures that underlie learning by doing. Designed for all who are concerned with education and school reform, the text draws attention to how effective learning takes place and provides instruction for developing software that truly helps students learn.

Genres: Artificial Intelligence

Unknown Binding

First published August 28, 1999