Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Third Edition

Description

Book Description:

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.





MIRROR : IceFile.com





MIRROR : IceFile.com

22 gb engineerng ebook

[code]
http://rapidshare.com/users/R32N8G
http://rapidshare.com/users/QSV7UI
http://rapidshare.com/users/K6W6VD
http://rapidshare.com/users/U9LFJW
http://rapidshare.com/users/DZTHOW
http://rapidshare.com/users/52F7SE
http://rapidshare.com/users/U376JW
http://rapidshare.com/users/ESERS3

[/code]

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Third Edition" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1446
2. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Third Edition
3. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, Third Edition (IEEE Press Series on Computational Intelligence)
4. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
5. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 5th European Conferenc
6. Evolutionary Computation in Practice (Studies in Computational Intelligence)
7. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
8. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
9. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
10. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
11. Machine Intelligence 13: Machine Intelligence and Inductive Learning (Machine Intelligence)
12. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
13. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
14. Non-Standard Computation: Molecular Computation - Cellular Automata - Evolutionary Algorithms - Quan
15. Frontiers of Evolutionary Computation (Genetic Algorithms and Evolutionary Compu
16. Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)