One of the most intriguing questions about the new computer techlogy 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 t. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be ermous. The result would be an explosion of new computer applications that would suddenly become ecomically 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 ecomic impact of successful 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 about the methods by which machines and humans might learn, significant progress has been made.
Springer-Verlag New York Inc.
Date of Publication
Computing: Professional & Programming
The Springer International Series in Engineering and Computer Science