Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain," Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future.Brings one of the most exciting areas of AI research to life by following the story of Blondie24's development in the lab through her evolution into an expert-rated checkers player, based on her impressive success in Internet competition.Explains the foundations of evolutionary computation, simply and clearly.Presents complex material in an engaging style for readers with no background in computer science or artificial intelligence.Examines foundational issues surrounding the creation of a thinking machine.Debates whether the famous Turing Test really tests for intelligence.Challenges deeply entrenched myths about the successes and implication of some well-known AI experiments.Shows Blondie's moves with checkerboard diagrams that readers can easily follow.

Although evolutionary computation has only been a popular topic for the last 20 years, it actually has antecedents back in the '50s. This is the first text to present the most significant and historic papers on evolutionary computation ranging from the '50s to the early '90s. Features a comprehensive bibliography of the available literature in the field.

Product Description: The definitive survey of computational intelligence from luminaries in the field Computational intelligence is a fast-moving, multidisciplinary field - the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation...read more

Product Description: This CD-ROM offers an introduction to the field of evolutionary computation. The areas of genetic algorithms, evolution strategies and evolutionary programming are discussed in sufficient detail to allow those new to the field to address their own problems with these methods...read more

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Product Description: Evolutionary computation is one of the fastest growing areas of computer science, partly because of its broad applicability to engineering problems. The methods can be applied to problems as diverse as supply-chain optimization, routing and planning, task assignment, pharmaceutical design, interactive gaming, and many others within the signal processing domain...read more (view table of contents, read Amazon.com's description)

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Product Description: The field of evolutionary computation is expanding dramatically, fueled by the vast investment that reflects the value of applying its techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to-date information on algorithms and operators used in evolutionary computing...read more (view table of contents, read Amazon.com's description)

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Product Description: "In this revised and significantly expanded second edition, distinguished scientist Dr. David B. Fogel presents the latest advances in both the theory and practice of evolutionary computation to help you keep pace with the most recent developments in this fast-changing field...read more (view table of contents, read Amazon.com's description)

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Product Description: A joint publication of Institute of Physics Publishing and Oxford University Press, the Handbook of Evolutionary Computation is the second in a series of three works that form part of the Oxford/IOP Computational Intelligence Library project...read more

Product Description: A joint publication of Institute of Physics Publishing and Oxford University Press, the Handbook of Evolutionary Computation is the second in a series of three works that form part of the Oxford/IOP Computational Intelligence Library project...read more

(view table of contents)

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