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David B. Fogel
"Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by emulating the principles of Darwinian evolution and discovering innovative ways to approach the game. In this year of 2001, as we remember Arthur C. Clarke's predictions, David Fogel dramatically demonstrates how evolutionary computation may enable humans to create a thinking machine far more readily than the techniques traditionally used in the study of artificial intelligence."--BOOK JACKET.
Robert M. Axelrod
The Evolution of Cooperation provides valuable insights into the age-old question of whether unforced cooperation is ever possible. Widely praised and much-discussed, this classic book explores how cooperation can emerge in a world of self-seeking egoists-whether superpowers, businesses, or individuals-when there is no central authority to police their actions. The problem of cooperation is central to many different fields. Robert Axelrod recounts the famous computer tournaments in which the "cooperative” program Tit for Tat recorded its stunning victories, explains its application to a broad spectrum of subjects, and suggests how readers can both apply cooperative principles to their own lives and teach cooperative principles to others.
In 1984, Robert Axelrod published a book, relating the story of two competitions which he ran, where invited academics entered strategies for the Iterated Prisoners' Dilemma. The book, almost 20 years on, is still widely read and cited by academics and the general public.As a celebration of that landmark work, we have recreated those competitions to celebrate its 20th anniversary, by again inviting academics to submit prisoners' dilemma strategies. The first of these new competitions was run in July 2004, and the second in April 2005. Iterated Prisoners' Dilemma: 20 Years On essentially provides an update of the Axelrod's book.Specifically, it • Presents the prisoners' dilemma, its history and variants • Highlights original Axelrod's work and its impact • Discusses results of new competitions • Showcases selected papers that reflect the latest researches in the area
Reprint of the fine biography first published by Doubleday in 1992. Annotation copyright by Book News, Inc., Portland, OR
Tom M. Mitchell
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
Elwyn R. Berlekamp, John H. Conway, Richard K. Guy
This classic on games and how to play them intelligently is being re-issued in a new, four volume edition. This book has laid the foundation to a mathematical approach to playing games. The wise authors wield witty words, which wangle wonderfully winning ways. In Volume 1, the authors do the Spade Work, presenting theories and techniques to "dissect" games of varied structures and formats in order to develop winning strategies.