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Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins (English Edition) eBook Kindle

5.0 de 5 estrelas 1 avaliação de cliente

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eBook Kindle, 1 jun 2017
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Número de páginas: 305 páginas Configuração de fonte: Habilitado Page Flip: Habilitado
Idioma: Inglês

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Descrição do produto

In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology: machine intelligence had arrived at the point where it could best human intellect.

It wasn't a coincidence that Kasparov became the symbol of man's fight against the machines. Chess has long been the fulcrum in development of machine intelligence; the hoax automaton 'The Turk' in the 18th century and Alan Turing's first chess program in 1952 were two early examples of the quest for machines to think like humans -- a talent we measured by their ability to beat their creators at chess. As the pre-eminent chessmaster of the 80s and 90s, it was Kasparov's blessing and his curse to play against each generation's strongest computer champions, contributing to their development and advancing the field.

Like all passionate competitors, Kasparov has taken his defeat and learned from it. He has devoted much energy to devising ways in which humans can partner with machines in order to produce results better than either can achieve alone. During the twenty years since playing Deep Blue, he's played both with and against machines, learning a great deal about our vital relationship with our most remarkable creations. Ultimately, he's become convinced that by embracing the competition between human and machine intelligence, we can spend less time worrying about being replaced and more thinking of new challenges to conquer.

In this breakthrough book, Kasparov tells his side of the story of Deep Blue for the first time -- what it was like to strategize against an implacable, untiring opponent -- the mistakes he made and the reasons the odds were against him. But more than that, he tells his story of AI more generally, and how he's evolved to embrace it, taking part in an urgent debate with philosophers worried about human values, programmers creating self-learning neural networks, and engineers of cutting edge robotics.

Sobre o Autor

Garry Kasparov is a business speaker, global human rights activist, author, and former world chess champion. His keynote lectures and seminars on strategic thinking, achieving peak performance, and tech innovation have been acclaimed in dozens of countries. A frequent contributor to the Wall Street Journal, he is the author of two books, How Life Imitates Chess and Winter is Coming, each of which has been translated into more than a dozen languages. He is a Senior Visiting Fellow at the Oxford Martin School, working in cooperation with the Future of Humanity Institute. He lives in New York.

Mig Greengard is Spokesman and Senior Advisor to Garry Kasparov.


Detalhes do produto

  • Formato: eBook Kindle
  • Tamanho do arquivo: 966 KB
  • Número de páginas: 305 páginas
  • ISBN da fonte dos números de páginas: 161039786X
  • Editora: John Murray (1 de junho de 2017)
  • Vendido por: Amazon Servicos de Varejo do Brasil Ltda
  • Idioma: Inglês
  • ASIN: B01M1GEJJK
  • Leitura de texto: Habilitado
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  • Dicas de vocabulário: Não habilitado
  • Leitor de tela: Compatível
  • Configuração de fonte: Habilitado
  • Avaliação média: 5.0 de 5 estrelas 1 avaliação de cliente
  • Lista de mais vendidos da Amazon: #88,191 entre os mais vendidos na Loja Kindle (Conheça os 100 mais vendidos na Loja Kindle)

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Por Kindle Customer em 29 de junho de 2017
Formato: eBook Kindle Compra verificada
Well written and full of very useful insights. Mr. Kasparov, please write more books! A must read for every A.I. enthusiast.
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Amazon.com: 4.4 de 5 estrelas 24 avaliações
Esta avaliação foi considerada útil por 5 de 5 pessoa(s):
4.0 de 5 estrelas A retrospective on Kasparov's experience playing Deep Blue 29 de junho de 2017
Por A. Menon - Publicada na Amazon.com
Formato: Capa dura Compra verificada
Deep Thinking is Kasparov's story of his match against Deep Blue and the evolution of playing against chess programs. The book tries to touch on the penetration of AI in society today and the author brings his perspective on the benefits of technology to today's world. This book is largely about the author's experience of the improvements in chess programming, how he faced it psychologically and how he prepared for games in this new era. Much of the book is the author detailing his thought process through these headline matches and his narrative on his behavior and the process broadly. If one has followed the career of Kasparov, this book will be very informative. If one is looking for a book on AI in chess programming, it isn't really about that.

The author starts with two goals, to discuss the growth of AI and use of computers in today's society and what it should mean for people given his experience in a job which was directly impacted by it as well as to give an account of the matches he endured against deep blue. The author starts by discussing early AI, the coverage is definitely not comprehensive but it gives the reader a good sense of how computation evolved and early ideas on AI and how to program it. The author discusses early pioneers in computer science and how some viewed chess as an admirable AI project given its complexity. Kasparov gives you a sense of the early computer days and the ideas used to program chess. In particular the easiest and easiest idea was to define an objective function for the computer to maximize in its search that valued chess pieces accurately. The author also discusses how databases were then added so that computers could improve efficiency by looking up positions from these databases. The author spends time on people and pattern recognition and how the mind works. The author's views on the technical subjects are well informed but not the focus. The author then gets into the detailing of his games against deep blue and the developers at IBM. He discusses both matches in great depth and discusses the commentary. It is interesting but probably more interesting to those who followed closely the matches and recall the atmosphere at the time. The author discusses how he focused on avoiding tactical positions where a computer would always be more effective and instead focus on strategic goals which were far harder for a computer to be able to capture in an objective function. One gets a better sense of high level chess and how a world champion thinks. The match against Deep Blue where Kasparov lost is the biggest focus and he discusses various moves and his strategy as well as his thinking on positions which were supposed turning points. Again if one had followed the match I suspect this resonates more but it is entertaining for those who did not. The author then discusses how chess is learned today and the broad use of computers in learning and strategy development. It discusses how computers can aid our development but can also be used as too much of a crutch.

All in all Deep Thinking was an entertaining read. It is definitely more for the chess aficionado than those interested in AI. I also think reading the book gets the reader more interested in chess so that also might be a good reason to read it. The techno optimism part of the book is well reasoned but definitely there is far better material out there on how to think about technology and its impact on the future than a book on how a professional chess player was impacted by it but it is a valuable perspective nonetheless. Entertaining if one has the time.
Esta avaliação foi considerada útil por 6 de 6 pessoa(s):
5.0 de 5 estrelas Articial Intelligence beats the human chess champion 28 de maio de 2017
Por Amazon Customer - Publicada na Amazon.com
Formato: Capa dura Compra verificada
Kasparov has written a reasonable book on his defeat from a computer on a chess game. He tries to find some excuses, as a human being, I would try too, and Kasparov realizes that AI has gotten better than the world champion of chess. But in the description of his defeat, he gives a lot of information on AI and what he will mean for us. The book is well written, but is also informative.
Esta avaliação foi considerada útil por 2 de 2 pessoa(s):
4.0 de 5 estrelas Entertaining read, insightful chess history; little in terms of forward-looking practical guidance 27 de junho de 2017
Por Sami Makelainen - Publicada na Amazon.com
Formato: Capa dura Compra verificada
What to expect: an optimistic, entertaining read, a good explanation of chess and history of computers in chess; entertaining, in-depth story of what went down with Deep Blue.

What not to expect: in-depth guidance on how, exactly, we are to collaborate with machines (beyond chess examples and concepts from there); how the machine intelligence and human creativity can be more broadly harnessed for the good of everyone.
Esta avaliação foi considerada útil por 24 de 25 pessoa(s):
5.0 de 5 estrelas Very well written and very interesting 12 de maio de 2017
Por Dennis Littrell - Publicada na Amazon.com
Formato: eBook Kindle
Most of this book is about chess and chess engines and Kasparov’s experiences with them, especially in his two matches with IBM’s Deep Blue. But there is much more. The central theme of the book can be seen in this quote from page 259: “…technology can make us more human by freeing us to be more creative…”

Like Kasparov (peak rating of 2851 in 1999) I (peak rating of 2080 in 1974) have been absolutely fascinated with chess playing programs going back to the eighties when the best engine played at about the USCF 1200 level. I bought one of the first Chessmaster programs and subsequently several others as well. I also bought the Fritz engines when they came out and others including I believe the first Zarkov program. What Kasparov shows is that it is a combination of brute force from the chess engines and the creative and process-finding ability of the human that makes for the strongest player. In human tournaments of course you can’t get help from your cell phone (and hopefully not from a device in your back molar!), but in preparation for a tournament and especially for a match a strong chess engine can be invaluable. Kasparov makes it clear that the proliferation of younger and younger and stronger and stronger grandmasters came about because of the maturing strength of the chess engines which allowed players to study at a level and with an intensity previously impossible.

Kasparov goes on to generalize this idea for other forms of human endeavor. Artificial Intelligence is in the final analysis a tool to augment human creativity and foster human achievement. (This is not to say it won’t be used in detrimental ways.) Fifty-five years ago my friend Bill Maillard, who is a mathematician and a master chess player, put it this way: machine intelligence will eventually exceed human intelligence but it will be the humans that make the decisions.

For Kasparov (quoting John McCarthy who coined the term “artificial intelligence” in 1956) chess became “the Drosophila of AI,” the fruit fly that allows scientific experiments. Put ironically in another way, Kasparov (with tongue in cheek) titled an earlier book of his “How Life Imitates Chess.” What is most interesting about Garry Kasparov is just how intelligent, learned and articulate he is compared to the vast number of chess players. Anybody who has put in the time and energy it takes to become a grandmaster really doesn’t have time to be well read—usually. One only has to recall the very limited abilities of Bobby Fischer away from the chess board. –Speaking of whom, Kasparov has this little story about Fischer on page 92: When “an eager fan pressed him after a difficult win” with “Nice game, Bobby!” Fischer retorted, “How would you know.”

Another interesting thing about Kasparov is how he can be both modest and very confident at the same time. Part of what makes this book so interesting is the way Kasparov reveals himself. He faults himself for the infamous resignation in game two of the second Deep Blue match and even reveals that he didn’t realize the position was drawn until the next day when told so by his seconds. He explains why he lost the match while making plausible excuses based on what he thought was unfair advantages on the other side. This part of the book, which focuses intently on those matches, reveals a very human and likable person, perhaps akin to a character in a popular novel, a person with great strengths and some weaknesses. For example, on page 105 Kasparov writes, “I can say without any false modesty that I was the best-prepared player in the history of chess.”

For many readers the most interesting parts of the book will deal with Kaparov’s understanding of AI (and IA, “intelligence amplification”) and how the technology has developed and where K thinks it’s going. He is less afraid of the surveillance than many people and for the most part sees that the increased knowledge we have of others and ourselves through technology will do more good than harm. He notes that “Our lives are being converted into data” but “The greatest security problem we have will always be human nature.” (p. 118) He adds on the next page, “Privacy is dying, so transparency must increase.” His knowledge is impressive, and he and his collaborator Mig Greengard write so clearly and engagingly that the book is a pleasure to read.

I should add that the book is beautifully designed and meticulously edited. I didn’t notice a single typo and nary a muddled sentence.

One other thing: even very experienced chess players will probably learn something about the game of chess they didn’t know or something about the history of chess they missed. I know I did.

Some quotables:

“Romanticizing the loss of jobs to technology is little better than complaining that antibiotics put too many grave diggers out of work.” (p. 42) This is a statement that bears some scrutiny, and indeed might be the subject of a future Kasparov book.

In 1989 Kasparov played the Deep Thought chess engine. After Kasparov won the tabloid New York Post wrote, “Red Chess King Quick Fries Deep Thought’s Chips.” (p. 111)

“Mistakes almost never walk alone.” (p. 239)

“Intelligence is whatever machines haven’t done yet” (quoting Larry Tesler). (p. 251)

“There’s a business saying that if you’re the smartest person in the room, you’re in the wrong room.” (p. 252)

--Dennis Littrell, author of “The World Is Not as We Think It Is”
Esta avaliação foi considerada útil por 1 de 1 pessoa(s):
5.0 de 5 estrelas Machine together with humans 13 de julho de 2017
Por Koo Ping Shung - Publicada na Amazon.com
Formato: eBook Kindle Compra verificada
Kasparov spent a lot of time writing what went through his mind during the match and re-match in 1996 & 1997 respectively. It's fantastic insights into how human thinking is different from machine thinking, insights we can use for ourselves on how we can prevent ourselves from being replaced by machines to working together with machines.

Strongly recommended for anyone who is in the field of Artificial Intelligence (bulk of the reason why I bought it). Have fun reading it!
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