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[NX2]≫ PDF Dynamic Memory Revisited Roger C Schank Books

Dynamic Memory Revisited Roger C Schank Books



Download As PDF : Dynamic Memory Revisited Roger C Schank Books

Download PDF  Dynamic Memory Revisited Roger C Schank Books

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.

Dynamic Memory Revisited Roger C Schank Books

If you are looking for strict information on AI, this is the wrong book... it talks about learning in human memory in terms of dynamic (always changing) memory structures. There is adequate discussion of scripts, MOPs and TOPS but not enough to model AI on.
While the writing style is a little dense, on reflection it's raw-ness helps to illustrate some of what Schank is saying. He updates ideas throughout the book, building to new information in the last chapters on case-based reasoning and non-concious knowledge. This is basically how learning and memory work: the mind builds on what it knows to synthesize new structures.

Product details

  • Printed Access Code
  • Publisher Cambridge University Press (December 15, 2009)
  • Language English
  • ISBN-10 0511527926

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Dynamic Memory Revisited Roger C Schank Books Reviews


Schank is responsible for a number of good ideas in Artificial Intelligence/Cognitive Science; conceptual dependency, scripts, and case-based reasoning among others. I read the present book in order to find any new gems Schank might have dug up. While I believe that you can mine Schank's work for good ideas there are some shortcomings as well. There is no complete theory presented. You could not write AI code based on this book. Furthermore, I would want such a theory and would have to test it before I would accept any of Schank's suggestions for how education should be changed. I find many of Schank's ideas about education faddist. But then much of the current discussion on education is nonsense. School is work. Period. If you don't like work you will not like school. So what.
If you are looking for strict information on AI, this is the wrong book... it talks about learning in human memory in terms of dynamic (always changing) memory structures. There is adequate discussion of scripts, MOPs and TOPS but not enough to model AI on.
While the writing style is a little dense, on reflection it's raw-ness helps to illustrate some of what Schank is saying. He updates ideas throughout the book, building to new information in the last chapters on case-based reasoning and non-concious knowledge. This is basically how learning and memory work the mind builds on what it knows to synthesize new structures.
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