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Deep Blue

Deep Blue
Author: Monroe Newborn
Publisher: Springer Science & Business Media
Total Pages: 402
Release: 2003
Genre: Computers
ISBN: 9780387954615

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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.


Deep Blue : an Artificial Intelligence Milestone

Deep Blue : an Artificial Intelligence Milestone
Author: Monroe Newborn
Publisher:
Total Pages: 345
Release: 2003
Genre: Computer chess
ISBN:

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A comprehensive and authoritative account of the creation, development, and actions of IBM's Deep Blue, a computer that defeated a chess grand master. Book details the AI technology and people involved in this technological triumph of machine over human gaming skills. Specialists and nonspecialists in AI and computer gaming will discover a fascinating story and account.


Deep Blue

Deep Blue
Author: Monty Newborn
Publisher: Springer Science & Business Media
Total Pages: 346
Release: 2013-03-20
Genre: Computers
ISBN: 0387217908

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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.


Deep Blue

Deep Blue
Author: Monty Newborn
Publisher:
Total Pages: 364
Release: 2014-01-15
Genre:
ISBN: 9781468495676

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Deep Thinking

Deep Thinking
Author: Garry Kasparov
Publisher: PublicAffairs
Total Pages: 304
Release: 2017-05-02
Genre: Computers
ISBN: 1610397878

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Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.


Beyond Deep Blue

Beyond Deep Blue
Author: Monty Newborn
Publisher: Springer Science & Business Media
Total Pages: 290
Release: 2011-04-02
Genre: Computers
ISBN: 0857293419

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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.


Behind Deep Blue

Behind Deep Blue
Author: Feng-hsiung Hsu
Publisher: Princeton University Press
Total Pages: 328
Release: 2022-05-03
Genre: Computers
ISBN: 0691235147

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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.


Artificial Intelligence

Artificial Intelligence
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
Total Pages: 336
Release: 2019-10-15
Genre: Computers
ISBN: 0374715238

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Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.


Reasoning

Reasoning
Author: Daniel Krawczyk
Publisher: Academic Press
Total Pages: 352
Release: 2017-11-13
Genre: Science
ISBN: 0128095768

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Reasoning: The Neuroscience of How We Think is a comprehensive guide to the core topics related to a thorough understanding of reasoning. It presents the current knowledge of the subject in a unified, complete manner, ranging from animal studies, to applied situations, and is the only book available that presents a sustained focus on the neurobiological processes behind reasoning throughout all chapters, while also synthesizing research from animal behavior, cognitive psychology, development, and philosophy for a truly multidisciplinary approach. The book considers historical perspectives, state-of-the-art research methods, and future directions in emerging technology and cognitive enhancement. Written by an expert in the field, this book provides a coherent and structured narrative appropriate for students in need of an introduction to the topic of reasoning as well as researchers seeking well-rounded foundational content. It is essential reading for neuroscientists, cognitive scientists, neuropsychologists and others interested in the neural mechanisms behind thinking, reasoning and higher cognition. Provides a comparative perspective considering animal cognition and its relevance to human reasoning Includes developmental and lifespan considerations throughout the book Discusses technological development and its role in reasoning, both currently and in the future Considers perspectives from not only neuroscience, but cognitive psychology, philosophy, development, and animal behavior for a multidisciplinary treatment Contains highlight boxes featuring additional details on methods, historical descriptions and experimental tasks


Artificial Intelligence Illuminated

Artificial Intelligence Illuminated
Author: Ben Coppin
Publisher: Jones & Bartlett Learning
Total Pages: 772
Release: 2004
Genre: Computers
ISBN: 9780763732301

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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.