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Artificial Intelligence: A Modern Approach (Prentice Hall Series in Artificial Intelligence) ハードカバー – 2002/12/20

4.4 5つ星のうち4.4 72個の評価

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購入オプションとあわせ買い

The long-anticipated revision of this best-selling book offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For those interested in artificial intelligence.
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"The publication of this textbook was a major step forward, not only for the teaching of AI, but for the unified view of the field that this book introduces. Even for experts in the field, there are important insights in almost every chapter." ― Prof. Thomas Dietterich,
Oregon State




"Just terrific. The book I've always been waiting for...the AI bible for the next decade." ― Prof. Gerd Brewka (Vienna)




"A marvelous achievement, a truly beautiful book!" ― Prof. Selmer Bringsjord,
RPI




"It's a great book, with incredible breadth and depth, and very well-written. Everyone I know who has used it in their class has loved it." ― Prof. Haym Hirsh,
Rutgers




"I am deeply impressed by its unprecedented quality in presenting a coherent, balanced, broad and deep, enjoyable picture of the field of AI. It will become tire standard text for the years to come." ― Prof. Wolfgang Bibel,
Darmstadt




"Terrific! Well-written and well-organised, with comprehensive coverage of the material that every AI student should know." ― Prof. Martha Pollack (Michigan)




"Outstanding ...Its descriptions are extremely clear and readable; its organization is excellent; its examples are motivating; and its coverage is scholarly and throughout! ...will deservedly dominate the field for some time." ― Prof. Nils Nilsson,
Stanford




"The best book available now...It's almost as good as the book Charniak and I wrote, but more up to date. (Okay I'll admit it, it may even be better than our book.)" ― Prof. Drew McDermott,
Yale




"A magisterial wide scope account of the entire field of Artificial Intelligence that will enlighten professors as well as students." ― Dr. Alan Kay




"This is the book that made me love AI." ― Student (Indonesia)


著者について

Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor of computer science, director of the Center for Intelligent Systems, and holder of the Smith-Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was cowinner of the Computers and Thought Award. He was a 1996 Miller Professor of the University of California and was appointed to a Chancellor's Professorship in 2000. In 1998, he gave the Forsythe Memorial Lectures at Stanford University. He is a Fellow and former Executive Council member of the American Association for Artificial Intelligence. He has published over 100 papers on a wide range of topics in artificial intelligence. His other books include The Use of Knowledge in Analogy and Induction and (with Eric Wefald) Do the Right Thing: Studies in Limited Rationality.

Peter Norvig is director of Search Quality at Google, Inc. He is a Fellow and Executive Council member of the American Association for Artificial Intelligence. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA's research and development in artificial intelligence and robotics. Before that he served as chief scientist at Junglee, where he helped develop one of the first Internet information extraction services, and as a senior scientist at Sun Microsystems Laboratories working on intelligent information retrieval. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He has been a professor at the University of Southern California and a research faculty member at Berkeley. He has over 50 publications in computer science including the books Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX.

登録情報

  • 出版社 ‏ : ‎ Prentice Hall; 第2版 (2002/12/20)
  • 発売日 ‏ : ‎ 2002/12/20
  • 言語 ‏ : ‎ 英語
  • ハードカバー ‏ : ‎ 1080ページ
  • ISBN-10 ‏ : ‎ 0137903952
  • ISBN-13 ‏ : ‎ 978-0137903955
  • 寸法 ‏ : ‎ 20.32 x 4.45 x 25.4 cm
  • カスタマーレビュー:
    4.4 5つ星のうち4.4 72個の評価

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Stuart Russell
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他のお客様にも意見を伝えましょう

上位レビュー、対象国: 日本

2004年7月27日に日本でレビュー済み
Amazonで購入
Artificial Intelligence という抽象的ですが、ほとんどの現在のソフトウェアの基本になっているのです。
本書は現在までの主要AI分野をほぼ網羅しており、教科書に使われております。リファレンスもかなりしっかりしているため、初学者の手ほどきに最良書と考えます。
しかし、蛸壺の世界に入る方よりも、アプライドサイエンスとして、様々な産業で実践している多くの方にも、この本は必読と思われます。
3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
2005年8月23日に日本でレビュー済み
この本の1版=日本語訳版と比べると,
この2版は大幅に記述が更新されており,
現在までの研究内容に即したものになっています.
具体的に言えば,制約充足問題としての定式化に関する部分です.
そのぶん理解は難しくなっていますが,この分野で研究する
ためには必須の知識と言えます.
今や,1版,日本語訳の内容では足りず時代遅れです.
ぜひこちらを買いましょう.
私は日本語版を参照して勉強しましたが,失敗でした.
3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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他の国からのトップレビュー

すべてのレビューを日本語に翻訳
Deepanchakkaravarthy
5つ星のうち5.0 Excellent condition
2022年1月20日にインドでレビュー済み
Amazonで購入
The second hand book looks so good to see. Even old edition with this price was awesome. Very rarely used book. Only seal and sign was there. I am very happy to buy this. Thank you
fouad
5つ星のうち5.0 Five Stars
2015年9月27日にカナダでレビュー済み
Amazonで購入
Ms. Jodi A. Curtis
5つ星のうち5.0 Worth every penny 8 years on from my purchase.
2015年4月20日に英国でレビュー済み
Amazonで購入
This book (now on it's third edition) is, in my opinion, an absolutely essential book for all computer scientists, and any developer working on algorithms. It is one of my top five computer science books of all time.

The structure, referencing, context and content, are perfectly presented, concise, and understandable. The book also includes exercises for students or lecturers if this is seen as important. Not only does the book cover an introduction to search algorithms efficiently in the 25% of the book, it also provides the best introduction to first order logic I have read.

About 65% of the huge volume covers AI, striking a perfect balance for logical minds, without oversimplifying or avoiding mathematics - as is often found, and without any of the pitfalls found in pure maths texts. (which can sometimes for me feel like they lack either structure or clear concise semantics). Running through the book is an insight into agent-based AI (as and when appropriate for a chapter) building on an introduction to agents in the first part of the book.
1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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CARLOS
5つ星のうち5.0 Essential
2014年11月22日にスペインでレビュー済み
Amazonで購入
This book is a reference on the study of the artificial intelligence. Is one of the books all the people interested on the artificial intelligence, would have to read.
B1
5つ星のうち5.0 Worth a million
2007年9月26日にアメリカ合衆国でレビュー済み
Amazonで購入
An author of this book is said to have commented that its writing has made him a millionaire. It is used in over 1000 universities for a simple reason, it is good. The book uses the concept of an agent to unify the formerly fragmented field of AI and to link together concepts as diverse as logic programming and ethics. It is very easy to read and touches every area of modern research interest I can think of. The problems have a nice variety of difficulties (although there are no worked-out solutions in the book) and provide a mix between theory and practice, introducing the careful student to concepts and papers not developed in the main text of the chapter. The bibliography is well laid-out and provides useful depth (one of my current research interests was sparked by reading one of the referenced papers in the 2nd chapter).

My only complaint so far (not having finished the entire book) is that some of the definitions in chapter 17's whirlwind introduction to game theory were a little vague. But, a quick look at some other sources clarified things immensely.

It is rare to find a textbook as interesting and clear as this one. If a professor is requiring that you read it, consider yourself fortunate. If you are thinking of reading it yourself, you also are blessed. Look forward to many pleasant evenings.
7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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