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IEEE Press/Wiley-Interscience Publishes Third Edition of Dr. David Fogel's Evolutionary Computation: Toward a New Philosophy of Machine Intelligence
La Jolla, CA – Natural Selection, Inc. is pleased to announce that the third edition of Dr. David Fogel's book Evolutionary Computation: Toward a New Philosophy of Machine Intelligence has been published by IEEE Press/Wiley-Interscience. The first edition of the book, which was a Library of Science Book of the Month, was published in 1995, with the second edition published in 2000. To order the book on Amazon.com, click here.
From the Back Cover:
The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does.
Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers.
As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation.
The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well.
This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook.
David B. Fogel, Ph.D. is CEO of Natural Selection, Inc., a company dedicated to applying computational intelligence methods to solving challenging problems in industry, medicine, and defense. He has published more than 200 articles in the technical literature, focusing on the science and applications of evolutionary computation and neural networks. Dr. Fogel is the author of six books, including the popular Blondie24: Playing at the Edge of AI.
Natural Selection, Inc. was founded in 1993 to address complex problems in industry, medicine, and defense. The company possesses unique expertise in computational intelligence techniques, including evolutionary computation, neural networks, and fuzzy logic. The corporation's research efforts support the discovery of new pharmaceuticals, the automated detection and discovery of important patterns and processes in bioinformatics and medical informatics, computer-assisted diagnosis, and a variety of military and industrial projects.
For more information, please contact:
Dr. David B. Fogel
CEO
Natural Selection, Inc.
3333 N. Torrey Pines Ct.
Suite 200
La Jolla, CA, 92037
tel: (858) 455-6449
fax: (858) 455-1560
dfogel@natural-selection.com
and please visit our web site at http://www.natural-selection.com/.