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Evolutionary Robotics: The Biology, Intelligence and Technology of Self-organizing Machines (Intelligent Robotics & Autonomous Agents)
 
 
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Evolutionary Robotics: The Biology, Intelligence and Technology of Self-organizing Machines (Intelligent Robotics & Autonomous Agents) [Hardcover]

Stefano Nolfi
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Review

"Highly recommended for all involved in the field of evolutionary robotics. It will be an important reference for experimental and theoretical studies in evolutionary robotics for quite some time." - Horatiu Voicu, AI Magazine; "An informative and inspiring book that provides a thorough examination of the subject." - Industrial Robot: An International Journal"

Review

"Highly recommended for all involved in the field of evolutionary robotics. It will be an important reference for experimental and theoretical studies in evolutionary robotics for quite some time." - Horatiu Voicu, AI Magazine; "An informative and inspiring book that provides a thorough examination of the subject." - Industrial Robot: An International Journal" --This text refers to the Paperback edition.

Product Description

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention. Drawing heavily on biology and ethology, it uses the tools of neural networks, genetic algorithms, dynamic systems and biomorphic engineering. The resulting robots share with simple biological systems the characteristics of robustness, simplicity, small size, flexibility and modularity. This book describes the basic concepts and methodologies of evolutionary robotics and the results achieved so far. An important feature is the clear presentation of a set of empirical experiments of increasing complexity. Software with a graphic interface, freely available on a Web page, will allow the reader to replicate and vary (in simulation and on real robots) most of the experiments.

About the Author

Dario Floreano is Director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology in Lausanne (EPFL). He is the coauthor of Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (MIT Press, 2000). --This text refers to the Paperback edition.
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