Dynamic Memory Revisited

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. Dynamic Memory Revisited 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. 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.

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.

Dynamic Memory, first published in 1983, described how computers could learn based upon what was known about how people learn. Dr Schank has since 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.