Ebook: Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning

One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact ofsuccessful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain aboutthe methods by which machines and humans might learn, significant progress has been made.

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Content:
Front Matter....Pages i-xi
Acquisition of LISP Programming Skill....Pages 1-24
Learning by explaining examples to oneself: A computational model....Pages 25-82
Learning Schemas from Explanations in Practical Electronics....Pages 83-117
Statistical and Cognitive Models of Learning through Instruction....Pages 119-145
The Interaction Between Knowledge and Practice in the Acquisition of Cognitive Skills....Pages 147-208
Correcting Imperfect Domain Theories: A Knowledge-Level Analysis....Pages 209-244
A Cognitive Science Approach to Case-Based Planning....Pages 245-267
Bias in Planning and Explanation-Based Learning....Pages 269-307
Knowledge Acquisition and Natural Language Processing....Pages 309-336
Back Matter....Pages 337-339

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Content:
Front Matter....Pages i-xi
Acquisition of LISP Programming Skill....Pages 1-24
Learning by explaining examples to oneself: A computational model....Pages 25-82
Learning Schemas from Explanations in Practical Electronics....Pages 83-117
Statistical and Cognitive Models of Learning through Instruction....Pages 119-145
The Interaction Between Knowledge and Practice in the Acquisition of Cognitive Skills....Pages 147-208
Correcting Imperfect Domain Theories: A Knowledge-Level Analysis....Pages 209-244
A Cognitive Science Approach to Case-Based Planning....Pages 245-267
Bias in Planning and Explanation-Based Learning....Pages 269-307
Knowledge Acquisition and Natural Language Processing....Pages 309-336
Back Matter....Pages 337-339
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