Roger Schank's influential book, Dynamic Memory (CUP 1982), described how computers could learn based on what was known about how people learn. Since that book's publication, Dr. Schank has turned his focus from artificial intelligence to human intelligence. Dynamic Memory Revisited contains the theory of learning presented in the original book, extending it to provide principles for teaching and learning, and includes Dr. Schank's important theory of case-based reasoning and assesses the role of stories in human memory. Dynamic Memory Revisited is crucial reading for all who are concerned...

This book is the third volume in a series that provides a hands-on perspective on the evolving theories associated with Roger Schank and his students. The primary focus of this volume is on constructing explanations. All of the chapters relate to the problem of building computer programs that can develop hypotheses about what might have caused an observed event. Because most researchers in natural language processing don't really want to work on inference, memory, and learning issues, most of their sample text fragments are chosen carefully to de-emphasize the need for non text-related...

It is not unusual for a festschrift to include offerings from several areas of study, but it is highly unusual for those areas to cross disciplinary lines. This book, in doing just that, is a testimony to Bob Abelson's impact on the disciplines of social psychology, artificial intelligence and cognitive science, and the applied areas of political psychology and decision-making. The contributors demonstrate that their association with Abelson, whether as students or colleagues, has resulted in an impressive intellectual cross-fertilization.

This volume describes the progress being made at The Institute for the Learning Sciences using computers to provide motivating environments for learning. The text documents the authors' work from the cognitive psychology which underlies it.

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...

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 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 should 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.

Instructional theory describes a variety of methods of instruction (different ways of facilitating human learning and development) and when to use--and not use--each of those methods. It is about how to help people learn better.
This volume provides a concise summary of a broad sampling of new methods of instruction currently under development, helps show the interrelationships among these diverse theories, and highlights current issues and trends in instructional design. It is a sequel to Instructional-Design Theories and Models: An Overview of Their Current Status, which...

To hear politicians talk, one would think the entire purpose of school is to assess children rather than educate them. Excitement about learning doesn't seem to be on anyone's agenda. The villains are those who profit from testing mania, make the tests, coach for testing, publish the books on which the tests are based, and believe that the results matter. Children are being taught things they don't need to know and nobody seems to care.
Scrooge Meets Dick and Jane is a cautionary tale of the dangers of educational testing and outmoded curriculum design. Bringing a new twist to...

How are our memories, our narratives, and our intelligence interrelated? What can artificial intelligence and narratology say to each other? In this pathbreaking study by an expert on learning and computers, Roger C. Schank argues that artificial intelligence must be based on real human intelligence, which consists largely of applying old situations, and our narratives of them, to new situations in less than obvious ways.

First published in 1981. Routledge is an imprint of Taylor & Francis, an informa company.