Intelligent Instruction Computer: Theory And Practice [Paperback]

Marshall J. Farr (Editor), Joseph Psotka (Editor)

Book Description

ISBN-10: 0844816876 | ISBN-13: 978-0844816876 | Publication Date: February 3, 1992 | Edition: 1

This text records the dramatic new prospects for computers in instruction in school, the workplace and high technology research facilities. If offers teachers and trainers a vision of how their professions will be fundamentally altered by these new systems and how their roles will be changed. The challenges and opportunities exposed by these developments in intelligent instruction by computer are many. Topics discussed include: apprenticeship and training in the workplace; automated tutoring in interactive environment; two approaches to simulation composition for training; and transfer, adaption, and use of intelligent tutoring technology.

Product Details

• Paperback: 291 pages
• Publisher: Routledge; 1 edition (February 3, 1992)
• Language: English
• ISBN-10: 0844816876
• ISBN-13: 978-0844816876
• Product Dimensions: 9.9 x 6.9 x 0.6 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #10,231,772 in Books (See Top 100 in Books)

More About the Author

I was born in Serbia during the second world war (actually it was Yugoslavia at the time but has changed its name several times since ...) and narrowly missed staying there forever. For most of my life I have been a psychologist of sorts, with more than a passing interest in computers and their power to augment or supercede our intelligence. My thesis in 1975 dealt with a powerful theory of statistical induction as the basis of human thought and I have been working to understand it for most of my career, with too little success. I was surprised when I discovered only recently that it was a very special case of a much broader statistical technology that is being implemented in a new class of computers based on memristors for neural computing. This may well transform computing if it succeeds and replace digital computing. It appears to have much in common with holographic computing as well, and may help us better understand how simple physical objects can become intelligent. What a shame that I didn't understand this better 35 years ago ...