|
|
|
|
|
|
|
HELP | |
|
 $82.75 List price:
New Hardcover
Ships in 1 to 3 days
 available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
More copies of this ISBN:This title in other formats:Artificial Intelligence : a New Synthesis (98 Edition)by Nils J. Nilsson
Synopses & ReviewsPublisher Comments: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. This evolutionary approach provides a unifying theme. It has thorough coverage of important AI ideas, old and new. There is frequent use of examples and illustrative diagrams. It has extensive coverage of machine learning methods throughout the text. There are citations to over 500 references, and a comprehensive index. Book News Annotation:This introductory text emphasizes important and lasting AI ideas and
is intended for a one-semester introductory college course, a
precursor to more advanced courses. It begins by considering
elementary reactive agents which can sense and report on factors in
their environment, and moves on to consider more complex agents,
including those which can plan a series of actions based on their
effects, those which can be said to "reason" and "deduce" properties
of their environment, and those which exist in environments where
they must interact and communicate with other agents.
Annotation c. Book News, Inc., Portland, OR (booknews.com) Synopsis:quent use of examples and illustrative diagrams Synopsis:>Citations to over 500 references About the AuthorNils Nilsson's long and rich research career has contributed much to AI. His previous books, often considered classics in the field, include Learning Machines, Problem-Solving Methods in Artificial Intelligence, Logical Foundations of Artificial Intelligence, and 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. Table of Contentsresenting Commonsense Knowledge 19 Reasoning with Uncertain Information 20 Learning and Acting with Bayes Nets 21 The Situation Calculus 22 Planning 23 Multiple Agents 24 Communication Among Agents 25 Agent Architectures What Our Readers Are SayingAdd a comment for a chance to win!
Average customer rating based on 1 comment: | |||||||||
|
| ||||||||||
|
||||||||||
Don't Miss
