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Kasparov versus Deep Blue
In February 1996, a chess-playing computer known as Deep Blue made history by defeating the reigning world chess champion, Gary Kasparov, in a game played under match conditions. Kasparov went on to win the six-game match 4-2 and at the end of the match announced that he believed that chess computing had come of age. This book provides an enthralling account of the match and of the story that lies behind it: the evolution of chess-playing computers and the development of Deep Blue. The story of chess-playing computers goes back a long way and the author provides a whistlestop tour of the highlights of this history. As the development comes to its culmination in Philadelphia, we meet the Deep Blue team, Garry Kasparov and each of the historic six games is provided in full with a detailed commentary. Chess grandmaster Yasser Seirawan provided a lively commentary throughout the match and here provides a Foreword about the significance of this event.
Beyond Deep Blue
More than a decade has passed since IBM’s Deep Blue computer stunned the world by defeating Garry Kasparov, the world chess champion at that time. Beyond Deep Blue tells the continuing story of the chess engine and its steady improvement. The book provides analysis of the games alongside a detailed examination of the remarkable technological progress made by the engines – asking which one is best, how good is it, and how much better can it get. Features: presents a total of 118 games, played by 17 different chess engines, collected together for the first time in a single reference; details the processor speeds, memory sizes, and the number of processors used by each chess engine; includes games from 10 World Computer Chess Championships, and three computer chess tournaments of the Internet Chess Club; covers the man-machine matches between Fritz and Kramnik, and Kasparov and Deep Junior; describes three historical matches between leading engines – Hydra vs. Shredder, Junior vs. Fritz, and Zappa vs. Rybka.
Automated Theorem Proving
This text and software package introduces readers to automated theorem proving, while providing two approaches implemented as easy-to-use programs. These are semantic-tree theorem proving and resolution-refutation theorem proving. The early chapters introduce first-order predicate calculus, well-formed formulae, and their transformation to clauses. Then the author goes on to show how the two methods work and provides numerous examples for readers to try their hand at theorem-proving experiments. Each chapter comes with exercises designed to familiarise the readers with the ideas and with the software, and answers to many of the problems.
Artificial Intelligence Illuminated
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.
Behind Deep Blue
The riveting quest to construct the machine that would take on the world’s greatest human chess player—told by the man who built it On May 11, 1997, millions worldwide heard news of a stunning victory, as a machine defeated the defending world chess champion, Garry Kasparov. Behind Deep Blue tells the inside story of the quest to create the mother of all chess machines and what happened at the two historic Deep Blue vs. Kasparov matches. Feng-hsiung Hsu, the system architect of Deep Blue, reveals how a modest student project started at Carnegie Mellon in 1985 led to the production of a multimillion-dollar supercomputer. Hsu discusses the setbacks, tensions, and rivalries in the race to develop the ultimate chess machine, and the wild controversies that culminated in the final triumph over the world's greatest human player. With a new foreword by Jon Kleinberg and a new preface from the author, Behind Deep Blue offers a remarkable look at one of the most famous advances in artificial intelligence, and the brilliant toolmaker who invented it.
On Our Minds
There is no question more fundamental to human existence than that posed by the nature-versus-nurture debate. For much of the past century, it was widely believed that there was no essential human nature and that people could be educated or socialized to thrive in almost any imaginable culture. Today, that orthodoxy is being directly and forcefully challenged by a new science of the mind: evolutionary psychology. Like the theory of evolution itself, the implications of evolutionary psychology are provocative and unsettling. Rather than viewing the human mind as a mysterious black box or a blank slate, evolutionary psychologists see it as a physical organ that has evolved to process certain t...
When Robots Kill
The first book to develop standards for the criminal liability of artificial intelligence technologies
Trading Systems and Methods, + Website
The ultimate guide to trading systems, fully revised and updated For nearly thirty years, professional and individual traders have turned to Trading Systems and Methods for detailed information on indicators, programs, algorithms, and systems, and now this fully revised Fifth Edition updates coverage for today's markets. The definitive reference on trading systems, the book explains the tools and techniques of successful trading to help traders develop a program that meets their own unique needs. Presenting an analytical framework for comparing systematic methods and techniques, this new edition offers expanded coverage in nearly all areas, including trends, momentum, arbitrage, integration ...
Minimax and Applications
Techniques and principles of minimax theory play a key role in many areas of research, including game theory, optimization, and computational complexity. In general, a minimax problem can be formulated as min max f(x, y) (1) ",EX !lEY where f(x, y) is a function defined on the product of X and Y spaces. There are two basic issues regarding minimax problems: The first issue concerns the establishment of sufficient and necessary conditions for equality minmaxf(x,y) = maxminf(x,y). (2) "'EX !lEY !lEY "'EX The classical minimax theorem of von Neumann is a result of this type. Duality theory in linear and convex quadratic programming interprets minimax theory in a different way. The second issue concerns the establishment of sufficient and necessary conditions for values of the variables x and y that achieve the global minimax function value f(x*, y*) = minmaxf(x, y). (3) "'EX !lEY There are two developments in minimax theory that we would like to mention.
