Cover image for Artificial Intelligence : a new synthesis
Title:
Artificial Intelligence : a new synthesis
Author:
Nilsson, Nils J., 1933-
Personal Author:
Publication Information:
San Francisco, Calif. : Morgan Kaufmann Publishers, [1998]

©1998
Physical Description:
xxi, 513 pages : illustrations ; 24 cm
Language:
English
ISBN:
9781558604674

9781558605350
Format :
Book

Available:*

Library
Call Number
Material Type
Home Location
Status
Central Library Q335 .N495 1998 Adult Non-Fiction Non-Fiction Area
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Summary

Summary

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


Author Notes

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.


Table of Contents

Introduction
1 Stimulus-Response Agents
2 Neural Networks
3 Machine Evolution
4 State Machines
5 Robot Vision
6 Agents that Plan
7 Uninformed Search
8 Heuristic Search
9 Planning, Acting, and Learning
10 Alternative Search Formulations and Applications
11 Adversarial Search
12 The Propositional Calculus
13 Resolution in The Propositional Calculus
14 The Predicate Calculus
15 Resolution in the Predicate Calculus
16 Knowledge-Based Systems
17 Representing Commonsense Knowledge
18 Reasoning with Uncertain Information
19 Learning and Acting with Bayes Nets
20 The Situation Calculus
21 Planning
22 Multiple Agents
23 Communication Among Agents
24 Agent Architectures

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