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Synopsis
Engelmann (U. of Oregon) and Steely (Oregon Center for Applied Science) examine what the intelligent system that produces responses must do to perform as it does. Coverage includes the performance system that does not learn, basic learning, complicated learning, and human learning and how it is related to that of other organisms. Through a series of meta-blueprints articulating the steps, content or specific information, and logical operations required for the system to perform the specified tasks, the authors show how it would be possible to design machines that perform and learn in the same way as organisms. For practitioners involved in analyzing and creating behavior, such as ethnologists, instructional designers, learning psychologists, physiologist-neurobiologists, and designers of intelligent machines. Annotation ©2004 Book News, Inc., Portland, OR