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Foundations of Knowledge Acquisition : Cognitive Models of Complex Learning, ...

Description: Foundations of Knowledge Acquisition : Cognitive Models of Complex Learning, Paperback by Chipman, Susan (EDT); Meyrowitz, Alan L. (EDT), ISBN 146136390X, ISBN-13 9781461363903, Brand New, Free shipping in the US 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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Foundations of Knowledge Acquisition : Cognitive Models of Complex Learning, ...

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Book Title: Foundations of Knowledge Acquisition : Cognitive Models of Comple

Number of Pages: Xi, 339 Pages

Publication Name: Foundations of Knowledge Acquisition : Cognitive Models of Complex Learning

Language: English

Publisher: Springer

Subject: Intelligence (Ai) & Semantics, General

Publication Year: 2012

Type: Textbook

Item Weight: 19.2 Oz

Subject Area: Computers

Author: Alan L. Meyrowitz

Item Length: 9.3 in

Series: The Springer International Series in Engineering and Computer Science Ser.

Item Width: 6.1 in

Format: Trade Paperback

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