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.

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.

A technological milestone is not just a triumph, but a rare, pivotal watershed: Orville Wright's first flight, NASA's landing on the moon¿the victory of a digital computer, Deep Blue, over world chess champion Garry Kasparov in 1997. "Deep Blue: An Artificial Intelligence Milestone" details the historic endeavor to develop a chess-playing computer that would outplay the best human player on Earth. The story tells of the super-talented team of scientists and engineers involved, how one of America's mightiest corporations nurtured that team, and how the team's hard work produced a machine that played epic battles against human beings before eventually proving victorious. Deep Blue's success raises many questions about our future relationship with the digital computer. Topics and features: * Offers a comprehensive record of Deep Blue's Development * Gives the reader insight into the ups and downs of the deep Blue team on its way to finally defeating Gary Kasparov * Includes appendices that completely record Deep Blue's matches * Provides many photographs of the participants involved in the journey * Analyzes Deep Blue's evolution from "hostile force" to "champion" in popular cartoons appearing in newspapers. The work provides a comprehensive and authoritative account of the creation, development, and actions of IBM's Deep Blue technology group and how their computer defeated the world chess champion. Specialists and nonspecialists in AI and computing will discover a fascinating story of one of the major technological milestones in the history of computer science, as well as science in general.

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.

This book offers a detailed account of IBM's Deep Blue chess program, the people who created it, and its historic battles with World Chess Champion Garry Kasparov. The text examines the progress made by the creators of Deep Blue, beginning with the1989 two-game match against Kasparov. The heroes are: IBM researchers Feng-hsiung Hsu, Murray Campbell, and Joe Hoane, along with team leader Chung-Jen Tan and International Grandmaster Joel Benjamin. The text chronicles one of the great technology achievements of the 20th Century. It establishes the point in history when mankind's exciting new tool, the computer, came of age and competed with its human creators in the ultimate intellectual competition: a game of chess. This book will serve as the premier story documenting that achievement and a milestone in the development of artificial intelligence.

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.

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.