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 with education and school reform. It draws attention to how effective learning takes place and provides instruction for developing software that truly helps students learn.
"Roger Schank has brought an influential book up-to-date in a contemporary redefinition of the problem of dynamic memory to focus on learning. It is a well-written and compelling read." Roy Pea, SRI International
Preface to the second edition; 1. Introduction to dynamic memory; 2. Reminding and memory; 3. Failure-driven memory; 4. Cross-contextual reminding; 5. Story-based reminding; 6. The kinds of structures in memory; 7. Memory organization packets; 8. Thematic organization packets; 9. Generalization and memory; 10. Learning by doing; 11. Non-conscious knowledge; 12. Case-based reasoning and the metric of problem solving; 13. Non-conscious thinking; 14. Goal-based scenarios; 15. Enhancing intelligence; References; Index.