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Artificial Intelligence: A New Synthesis 1st Edition

by Nils J. Nilsson (Author)
4.3 out of 5 stars 38
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Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI.

  • An evolutionary approach provides a unifying theme
  • Thorough coverage of important AI ideas, old and new
  • Frequent use of examples and illustrative diagrams
  • Extensive coverage of machine learning methods throughout the text
  • Citations to over 500 references
  • Comprehensive index

Previous page
  1. ISBN-10
    1558604677
  2. ISBN-13
    978-1558604674
  3. Edition
    1st
  4. Publisher
    Morgan Kaufmann Publishers, Inc.
  5. Publication date
    April 15, 1998
  6. Part of series
    The Morgan Kaufmann Series in Artificial Intelligence
  7. Language
    English
  8. Dimensions
    7.67 x 1.35 x 9.62 inches
  9. Print length
    513 pages
  10. See all details
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Editorial Reviews

From the Back Cover

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI.

Features

  • An evolutionary approach provides a unifying theme
  • Thorough coverage of important AI ideas, old and new
  • Frequent use of examples and illustrative diagrams
  • Extensive coverage of machine learning methods throughout the text
  • Citations to over 500 references
  • Comprehensive index

About the Author

Nils J. Nilsson's long and rich research career has contributed much to AI. He has written many books, including the classic Principles of Artificial Intelligence. Dr. Nilsson is Kumagai Professor of Engineering, Emeritus, at Stanford University. He has served on the editorial boards of Artificial Intelligence and Machine Learning and as an Area Editor for the Journal of the Association for Computing Machinery. Former Chairman of the Department of Computer Science at Stanford, and former Director of the SRI Artificial Intelligence Center, he is also a past president and Fellow of the American Association for Artificial Intelligence.

Product details

  • Publisher ‏ : ‎ Morgan Kaufmann Publishers, Inc.; 1st edition (April 15, 1998)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 513 pages
  • ISBN-10 ‏ : ‎ 1558604677
  • ISBN-13 ‏ : ‎ 978-1558604674
  • Item Weight ‏ : ‎ 2.6 pounds
  • Dimensions ‏ : ‎ 7.67 x 1.35 x 9.62 inches
  • Customer Reviews:
    4.3 out of 5 stars 38

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Nils J. Nilsson

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Customer reviews

4.3 out of 5 stars
4.3 out of 5
38 global ratings
Wonderful new book with low price~
5 Stars
Wonderful new book with low price~
The Book is totally new with just a name on the front page ! NO marks, no notes ! And the price is so nice ~
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Top reviews from the United States

Dana "Dr.D" Richardson
5.0 out of 5 stars One of the very best on the subject
Reviewed in the United States on October 30, 2015
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Complex subjects need to be as considered as possible, wouldn't you agree? Would you also agree that we are becoming an increasingly visual learning world, with electronic media a frequent replacement to a much more necessary harder form of base? So you put those two together and we need I believe books such as this one, it covers the plethora of subjective results of computers programmed to think. This is a great read.
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A customer
5.0 out of 5 stars Thanks for such a discounted offer for some middle-class people like me.
Reviewed in the United States on March 15, 2015
Verified Purchase
Though I have the hard copy of the same edition, I bought this because I wanted to learn more and I am sure, it did it! Credit goes to Amazon or Dr. Nilsson or both? Thanks for such a discounted offer for some middle-class people like me.
One person found this helpful
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Dr. Lee D. Carlson
4.0 out of 5 stars Good general overview
Reviewed in the United States on July 5, 2004
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The field of artificial intelligence has an interesting history, both in terms of its content and the philosophical debate it has provoked. The field could also be loosely described as divided into two camps, those who view it as a collection of highly sophisticated algorithms, and those who view it as an attempt to create machines that exhibit human-level intelligence. Ironically, in the latter camp, it is difficult to assess the progress that has been made, since criteria for measuring machine intelligence are never explicitly given. Instead, dependence has been made on the "Turing test" for intelligence, a test that is difficult to apply, and in fact can be said to be too vague for a practical, objective assessment of machine intelligence.
This book is written more in the context of the latter camp, than in the former. However, in-depth discussion of the Turing test is not given, and this actually is one of the main virtues of the book, although the author clearly believes that the purpose of doing research in artificial intelligence is to achieve human-level intelligence. As he remarks in the last paragraph in the book, it was written to overview the techniques that he believes are required to achieve human-level intelligence. Although he does not explicitly give the reader tests for machine intelligence that will allow progress to be measured, he devotes a small portion of the book to various ideas on just what constitutes intelligence.
The book also gives a general (and sometimes very brief) overview of the algorithms used in artificial intelligence. Search heuristics, neural networks, and genetic programming are some of the topics that are covered. The influence of the "intelligent agent" paradigm, that is now taking the AI community by storm, is very apparent throughout the book. The author though does not neglect some of the topics in "good-ole-fashioned" artificial intelligence that arose decades ago and is still applicable today, especially in the field of logic programming. These topics include resolution in both the propositional and predicate calculus, and in expert systems. By far the best discussion in the book is on knowledge-based systems and evolving knowledge bases. This topic has taken on considerable importance in recent years due to the importance of data mining and business intelligence.
Readers who are considering artificial intelligence as a career choice will find good motivation by reading this book. The field also is quite different than most others in that it respects a high degree of individual creativity and ingenuity, and has a high bandwidth for new ideas. Beginning with its origins in the 1950s, the field has grown by leaps and bounds, but its applications have exploded in the last five years, fueled mainly by business and financial applications. Concerned not only with achieving human-level capabilities, but also with other forms of intelligence and how they can be useful, artificial intelligence has become one of the predominant forces in the twenty-first century. One can only be excited and optimistic about its further advances.
7 people found this helpful
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cpim
5.0 out of 5 stars Author is Leading Expert
Reviewed in the United States on May 8, 2017
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This author is the leading expert in Artificial Intelligence (AI). If you want to learn AI from the leading expert, then read this book.
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Huizhong Cheng
5.0 out of 5 stars Wonderful new book with low price~
Reviewed in the United States on September 2, 2015
Verified Purchase
The Book is totally new with just a name on the front page ! NO marks, no notes ! And the price is so nice ~
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Huizhong Cheng
5.0 out of 5 stars Wonderful new book with low price~
Reviewed in the United States on September 2, 2015
The Book is totally new with just a name on the front page ! NO marks, no notes ! And the price is so nice ~
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One person found this helpful
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Cristiano
5.0 out of 5 stars Time
Reviewed in the United States on July 11, 2019
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Great and in time
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Cem Say
4.0 out of 5 stars nice, but with these errors
Reviewed in the United States on November 27, 2002
A nice book. Especially the order in which the topics are covered is a good idea. However, you will not find the following errors reported in the book's webpage:
Page 52: The "high-degree function" is not a function!
Page 92: In Figure 6.6, the topmost pixels that get deleted as a result of the averaging operation should actually remain there, since both their sums are 4, which is greater than the threshold, which is 3.
Page 100: In Fig. 6.13, the last row of the last image contains a spurious image boundary.
Page 151: In Fig. 9.8, there are two nodes with name n; the one which is higher in the figure should have the subscript 1.
Page 152, item 3 in the list: There is an implicit assumption that h-hat always returns 0 for goal states. I don't think that this assumption is stated earlier in the text.
Page 165: In Figure 10.1, all arrows are supposed to be pointing away from the current state.
Page 246: The last paragraph mentions ".. the two interpretations for Clear and On suggested by Fig. 15.2", but aren't actually THREE interpretations suggested for On?
And in the current errata list in the book's website, something is clearly wrong with item 6, since it says n_i should be replaced by n_i.
All in all, a good book.
4 people found this helpful
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wenjie c.
5.0 out of 5 stars Five Stars
Reviewed in the United States on October 18, 2016
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very good!
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Top reviews from other countries

pragyashukla
5.0 out of 5 stars Five Stars
Reviewed in India on August 4, 2014
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Must read book for AI student.
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salaboy
5.0 out of 5 stars good as usual
Reviewed in the United Kingdom on August 15, 2013
Verified Purchase
good coverage of the field plus a lot of interesting extras, really recommended for Computer Science Students interested in the AI field .
One person found this helpful
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