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Evolutionary Computation

Librairie Eyrolles - Paris 5e
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Evolutionary Computation

Evolutionary Computation

Toward a New Philosophy of Machine Intelligence

296 pages, parution le 16/02/2006 (3eme édition)

Résumé

This Third Edition provides the latest tools and techniques that enable computers to learn

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.

Sommaire

  • Defining artificial intelligence
  • Natural evolution
  • Computer simulation of natural evolution
  • Theoretical and empirical properties of evolutionary computation
  • Intelligent behavior
  • Perspective
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Caractéristiques techniques du livre "Evolutionary Computation"

  PAPIER
Éditeur(s) Wiley
Auteur(s) David B. Fogel
Parution 16/02/2006
Édition  3eme édition
Nb. de pages 296
Format 16 x 24
Couverture Relié
Poids 525g
Intérieur Noir et Blanc
EAN13 9780471669517
ISBN13 978-0-471-66951-7

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