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Blondie24: Playing at the Edge of AI ペーパーバック – イラスト付き, 2001/9/22

4.6 5つ星のうち4.6 20個の評価

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Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game. Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to strategies employed by human grand masters, or to databases of moves for the endgame moves, or to other human expertise about the game of chekers. With only the most rudimentary information programmed into its "brain," Blondie24 (the program's Internet username) created its own means of evaluating the complex, changing patterns of pieces that make up a checkers game by evolving artificial neural networks---mathematical models that loosely describe how a brain works. It's fitting that Blondie24 should appear in 2001, the year when we remember Arthur C. Clarke's prediction that one day we would succeed in creating a thinking machine. In this compelling narrative, David Fogel, author and co-creator of Blondie24, describes in convincing detail how evolutionary computation may help to bring us closer to Clarke's vision of HAL. Along the way, he gives readers an inside look into the fascinating history of AI and poses provocative questions about its future.
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Blondie 24: Playing at the Edge of Artificial Intelligence is the first book to bring together the most advanced work in the general use of evolutionary computation for creative results. It is well suited for the general computer science audience.

Here's the story of a computer that taught itself to play checkers far better than its creators ever could. Blondie24 uses a program that emulates the basic principles of Darwin evolution to discover on its own how to excel at the game. Through this entertaining story, the book provides the reader some of the history of AI and explores its future.

Unlike Deep Blue, the celebrated chess machine that beat Garry Kasparov, the former world champion chess player, this evolutionary program didn't have access to other games played by human grand masters, or databases of moves for the endgame. It created its own means for evaluating the patterns of pieces that it experienced by evolving artificial neural networks--mathematical models that loosely describe how a brain works.

As we remember Arthur C. Clarke's prediction of the successful creation of machines that think like humans, David Fogel dramatically demonstrates how evolutionary computation may in fact bring us to our goal of creating a thinking machine far more quickly than traditional artificial intelligence has been able to do.

レビュー

"Meet Blondie. She's a 24-year old graduate student in mathematics at the University of California at San Diego. She skis and surfs, and is an ace at math. But her real claim to fame is her amazing ability to play checkers. She's really good--not good enough to defeat a grand master, but she did earn a spot in the top 500 of an international checkers tournament. Considering that she taught herself how to play without reading books, taking classes, or getting tips from experienced players--that's impressive. And considering that Blondie is only a computer program, and the rest of her persona is just a product my imagination, you might say that's really impressive!" --from the Introduction

登録情報

  • 出版社 ‏ : ‎ Morgan Kaufmann; 第1版 (2001/9/22)
  • 発売日 ‏ : ‎ 2001/9/22
  • 言語 ‏ : ‎ 英語
  • ペーパーバック ‏ : ‎ 424ページ
  • ISBN-10 ‏ : ‎ 1558607838
  • ISBN-13 ‏ : ‎ 978-1558607835
  • 寸法 ‏ : ‎ 13.97 x 2.44 x 17.78 cm
  • カスタマーレビュー:
    4.6 5つ星のうち4.6 20個の評価

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David B. Fogel
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JP Moresmau
5つ星のうち3.0 Un peu léger sur le côté AI
2015年9月4日にフランスでレビュー済み
Amazonで購入
Le livre est intéressant, surtout pour les anecdotes et certains aspects du dévelopement de l'AI (le fait qu'ils aient faient tourner leur algorithme pendant 6 mois pour avoir un bon résultat, etc.). Par contre, j'ai trouvé que trop de place était laissée aux jeux de dames vraiment joués (le grand maître a joué tel coup, et l'AI a répondu avec tel autre). Je suppose c'est l'idée d'un livre sur une AI pour jouer aux dames, mais moi ce qui m'attirait c'était l'AI, pas les dames en elle mêmes. Pas un livre vraiment technique donc mais une bonne histoire d'AI.
Mike Baliman
5つ星のうち5.0 Excellent overview of a new paradigm
2002年6月6日に英国でレビュー済み
Amazonで購入
An excellent laymans' guide to a 'new' paradigm - I've bought two copies already (one given away).
Deep Blue beat Gary Kasparov but only after a multi-year effort involving special hardware and was a program that was specifically designed to play chess.
Blondie24 'evolved itself' using non-special hardware (Pentium 400MHz) and in a matter of months beats 99% of all human players - WITHOUT KNOWING ANYTHING ABOUT DRAUGHTS.
Part 1 of the book is an overview of the two philosophies of AI embedded in Deep Blue and Blondie24 respectively. The argument is well made that Hal2001 could never be programmed in a conventional fashion.
Part 2 is the story of Blondie's creation - if anything here the most impressive item is the author's enthusiasm which is contagious.
Three qualifications:
1) on a technical quibble front Blondie24 is actually a co-evolved board valuation function which can only play draughts as it is embedded in a conventionally programmed mini-maxing game playing program. However one can hardly quibble with an author who includes an appendix of criticisms of his contentions!
2) at a more fundamental level Blondie24 is not a learning program (as far as I can see it learns nothing from its games) but rather the output of a learning system. This may be an interesting area for future study as, having evolved a 'good solution' it seems a pity to then 'waste' its future experiences.
3) like most highly skilled people Fogel makes it look easier than it is. If, sucked in by enthusiasm, one is tempted to try for oneself such an approach one finds a great number of pitfalls - it ain't as easy as he makes it look :-)
Overall no hesitation in suggesting that you buy this book if you have a lively, wide-ranging mind. If you liked reading about any of Chaos, Complexity, ALife etc as new paradigms then you have to buy this one.
MRB
7人のお客様がこれが役に立ったと考えています
レポート
Phillip T. Carson
5つ星のうち5.0 Most compelling AI book I've read
2001年11月8日にアメリカ合衆国でレビュー済み
Amazonで購入
I was already interested in neural networks, and have read several other books on the subject, all for information on how to design and build neural networks to do various tasks, so I was primed to like this book, but I had no idea how compelling it would be. Fogel does give most of the details necessary to recreate Blondie, but some of the specifics for the later modifications are missing and can be found, I believe, in his and his partner's scientific articles referenced in the book.
The first half is quite good, giving very basic background information on neural networks and machine learning algorithms as well as a brief history of the two best known checkers programs, Samuels' machine learning checkers player and Chinook, the best ever player (so far).
It's the second half of the book, however, that kicks the story into overdrive. Fogel begins describing how he and his partner, Kumar Chellapilla, made their design decisions, evolved a neural net, then began playing it against humans over the internet. Even if you aren't all that interested in checkers (I am not) the games as they are described by Fogel become at least as interesting as any close sporting event, especially in those cases where the neural net set up traps for its opponents that neither Fogel nor the other player could foresee. There were times that I couldn't stop reading. I'd get off the bus to work, get in the office, and continue until I could pull myself away. The second half of this book is as much a page turner as the best novels I've read.
An absolute must read for anyone interested in where AI needs to go.
33人のお客様がこれが役に立ったと考えています
レポート
William Rockwell
5つ星のうち5.0 Great Stuff
2003年10月26日にアメリカ合衆国でレビュー済み
Amazonで購入
This book should probably appeal to almost anyone with an interest in artificial intelligence.
For the beginner this book offers a nice intuitive introduction to subject areas such as neural nets and genetic algorithms.
The expert is not likely to learn any technical matertial but will probably enjoy it as it is a wonderfully written story and perhaps some inspiration. If all you want is a technical manual, then you should look elsewhere.
My level of knowledge of AI is closer to a beginner than an expert. Here are three things that struck me:
1. How long it can take to evolve a good solution. One example from the book took 6 months using pentium 400.
2. How petty academics can be. The last section contains comments made by referees reviewing papers written by the author in scientific journals. Most of them smack of "Damn why didn't I think of that. Well since I didn't, I will try to block someone who did".
3. How elegant GA can be. This book has inspired me to seriously study the various techniques in evolutionary methods.
There are two minor annoyances I found in the book. They are both related to the layout of the book. The book is almost square and has relatively short sides. I assume this was done to make the book look like a checkerboard. This gives the book an odd "feel". Because of the dimentions, the amount of material on each page is relatively small and often the diagrams are not on the same page as the words describing them. However these are very minor complaints on what is a very fine book.
6人のお客様がこれが役に立ったと考えています
レポート
Tom W. Brotherton
5つ星のうち5.0 A True Technology Adventure
2004年3月31日にアメリカ合衆国でレビュー済み
Amazonで購入
I started reading David Fogel's "Blondie24: Playing at the Edge of AI" on a recent flight more or less to better my professional knowledge. I also had a `fun' book. However, once I started reading Blondie24 I could not put it down. It is a true technology adventure that describes the development of an innovative program that teaches itself to play checkers. And it did this with no expert input or help. Rather it just plays a second version of itself. The two versions independently `evolve' to determine winning positions and strategies. As Fogel describes, in short order the program can easily beat its creator. And not long there after 99% of the people participating on a checkers playing website. That's amazing. And I do this sort of stuff for a living.
David Fogel is a world renowned expert and innovator in the development of evolutionary learning techniques described in Blondie24. His work is the state of the art, well known and respected by all in the field. The program and its implications are not only fascinating but extremely important and I believe a real look into the future for the development of `intelligent' systems.
I highly recommend Blondie24 to anyone even mildly interested in current AI technologies and the future of computing and intelligent systems. It's a great book.
11人のお客様がこれが役に立ったと考えています
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