Playing at the Edge of AI
By (author) David B. Fogel
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Blondie24 by David B. Fogel
Book Description"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. The book 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; and, shows Blondie's moves with checkerboard diagrams that readers can easily follow.
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Book DetailsISBN: 9781558607835
(216mm x 140mm x 21mm)
Imprint: Morgan Kaufmann Publishers In
Publisher: Elsevier Science & Technology
Publish Date: 4-Oct-2001
Country of Publication: United States
Books By Author David B. Fogel
Fundamentals of Computational Intelligence, Hardback (August 2016)
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.
Evolutionary Computation, Hardback (February 2006)
The revised and significantly expanded third edition of Evolutionary Computation presents the latest advances in the theory and practice of evolutionary computation. Highlighting the relationship between learning and intelligence, the book shows readers how to use simulated evolution to achieve machine intelligence.
Computational Intelligence, Hardback (June 2003)View all books by David B. Fogel
A survey of computational intelligence from luminaries in the field. This work shows how technology is shaping computational intelligence, and delivers insights into the field's future challenges. It also discusses important parallels between topics. It is suitable for practitioners of computational intelligence.
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Author Biography - David B. Fogel
David B. Fogel is the CEO of Natural Selection, Inc., a company which addresses complex, real-world problems in the areas of industry, medicine, and defense by applying the techniques of evolutionary computation, neural networks, fuzzy systems, knowledge-based systems, and stochastic processes, among other technologies. Dr. Fogel was the founding president of the Evolutionary Programming Society and was elected a Fellow of the IEEE in 1999. He is the founding editor-in-chief of the IEEE Transactions on Evolutionary Computation and serves on the editorial boards of several journals including BioSystems, Fuzzy Sets and Systems, and Journal of Scheduling.
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