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Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning(194 The Springer International Series in Engineering and Computer Science)

Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning(194 The Springer International Series in Engineering and Computer Science)

          
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About the Book

The two volumes of "Foundations of Knowledge Acquisition" document the recent progress of basic research in knowledge acquisition sponsored by the Office of Naval Research. Knowledge acquisition as pursued under the ARI was a coordinated research thrust into both machine learning and human learning. Chapters in this volume include summaries of work by cognitive scientists who do computational modelling of human learning. In fact, an accomplishment of research previously sponsored by ONR's Cognitive Science Program was insight into the knowledge and skills that distinguish human novices from human experts in various domains; the cognitive interest in the ARI was then to characterize how the transition from novice to expert actually takes place. In the accompanying volume, "Machine Learning", significant progress in machine learning is reported along a variety of fronts. Chapters include work in analogical reasoning; induction and discovery; learning and planning; learning by competition, using genetic algorithms; and theoretical limitations.

Table of Contents:
1. Acquisition of LISP Programming Skill.- 2. Learning by Explaining Examples to Oneself: A Computational Model.- 3. Learning Schemas from Explanations in Practical Electronics.- 4. Statistical and Cognitive Models of Learning Through Instruction.- 5. The Interaction Between Knowledge and Practice in the Acquisition of Cognitive Skills.- 6. Correcting Imperfect Domain Theories: A Knowledge-Level Analysis.- 7. A Cognitive Science Approach to Case-Based Planning.- 8. Bias in Planning and Explanation-Based Learning.- 9. Knowledge Acquisition and Natural Language Processing.


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Product Details
  • ISBN-13: 9780792392774
  • Publisher: Kluwer Academic Publishers
  • Publisher Imprint: Kluwer Academic Publishers
  • Edition: 1993
  • Language: English
  • Returnable: N
  • Spine Width: 21 mm
  • Weight: 675 gr
  • ISBN-10: 0792392779
  • Publisher Date: 31 Dec 1992
  • Binding: Hardback
  • Height: 235 mm
  • No of Pages: 339
  • Series Title: 194 The Springer International Series in Engineering and Computer Science
  • Sub Title: Cognitive Models of Complex Learning
  • Width: 155 mm


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