Artificial Intelligence: A New Synthesis

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Morgan Kaufmann, 1998 - Computers - 513 pages
3 Reviews

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

  

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User Review - Flag as inappropriate

I had to get this book for a University course I did. This one contains a fair amount of information on various topics, but presents them in very unintuitive ways. The first 3 chapters are well done and then the book takes a turn for the worst.
I have since read many other books that I have much prefered working through, where the examples were more relevant and better explained. I would not recommend this book, but I will also not slander it. The reason being that I am more of a practical person to a mathematically theoretical one.
During the course I ended up using the internet for my resource on various of the topics we had to implement. The book is very mathematically inclined and is not very easy to put into implemented practice without a mathematics major.
 

Review: Artificial Intelligence: A New Synthesis

User Review  - Gregor Erbach - Goodreads

Nilsson's book presents all major areas of artificial intelligence from the unifying perspective of the problem of constructing an intelligent agent. Many of the important subfields of AI are ... Read full review

Contents

Reactive Machines
19
H Neural Networks
37
Machine Evolution
59
State Machines
71
Robot Vision
85
Agents That Plan
117
Uninformed Search
129
H Heuristic Search
139
The Predicate Calculus
239
Resolution in the Predicate Calculus
253
KnowledgeBased Systems
269
Reasoning with Uncertain Information
317
Learning and Acting with Bayes Nets
343
Planning Methods Based
361
Communication and Integration
405
Communication among Agents
421

Planning Acting and Learning
163
Alternative Search Formulations
181
Adversarial Search
195
Knowledge Representation
215
Resolution in the Prepositional Calculus 251
231
Agent Architectures
443
Bibliography
455
Index
493
Copyright

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About the author (1998)

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.

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