Understanding Intelligence

Rolf Pfeifer, Christian Scheier

ISBN 10: 026266125X / ISBN 13: 9780262661256

Published by The M.I.T. Press, Cambridge, MA & London, 2001

About this Item

697 pp. Over-sized and/or over weight book; extra postage required. Please note that large and/or heavy items may incur an additional shipping charge. Flawless copy.

Seller Inventory # 2iiiEe0067

Bibliographic Details

• Title: Understanding Intelligence
• Publisher: The M.I.T. Press, Cambridge, MA & London
• Publication Date: 2001
• Language: English
• ISBN 10: 026266125X
• ISBN 13: 9780262661256
• Binding: Trade Paperback
• Illustrator: Alex Riegler (Figures by); Isabelle Follath (Cartoons by)
• Edition: 1st MIT Press Paperback Edition: 2001
• Condition: Like New
• Seller catalogs:
  • Computer Science & Technology, IT, Internet, etc.
  • Science, Modern, Applied & Natural Sciences
  • Academic, Scholarly, Research

About this title

Synopsis

The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own.

By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behaviorthus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI."

This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building.

The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.

About the Author

Christian Scheier is a Postdoctoral Fellow at the California Institute of Technology, Pasadena, California.