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Contents
A Note from the Author v

1 Introduction 1

2 Stimulus-Response Agents 3

3 Neural Networks 7

4 Machine Evolution 13

5 State Machines 15

6 Robot Vision 21

7 Agents That Plan 25

8 Uninformed Search 29

9 Heuristic Search 33

10 Planning, Acting, and Learning 39

11 Alternative Search Formulations and Applications 45

12 Adversarial Search 49

13 The Propositional Calculus 51

14 Resolution in the Propositional Calculus 55

15 The Predicate Calculus 59

16 Resolution in the Predicate Calculus 63

17 Knowledge-Based Systems 71

18 Representing Commonsense Knowledge 75

19 Reasoning with Uncertain Information 81

20 Learning and Acting with Bayes Nets 87

21 The Situation Calculus 91

22 Planning 97

23 Multiple Agents 107

24 Communication among Agents 111

25 Agent Architectures 113

본문/내용

Solutions Manual
for

Arti?cial Intelligence:
A New Synthesis
Nils J. Nilsson
Stanford University

Morgan Kaufmann Publishers, Inc. San Francisco, California

Senior Editor Denise Penrose Director of Production and Manufacturing Yonie Overton Production Editor Cheri Palmer Editorial Coordinator Meghan Keeffe Composition and Illustrations Windfall Software, using ZzTEX Morgan Kaufmann Publishers, Inc. Editorial and Sales Of?ce 340 Pine Street, Sixth Floor San Francisco, CA 94104-3205 USA Telephone 415 / 392-2665 Facsimile 415 / 982-2665 Email mkp@mkp.com WWW http://www.mkp.com Order toll free 800 / 745-7323 ⓒ 1998 by Morgan Kaufmann Publishers, Inc. All rights reserved Printed in the United States of America ISBN 1-55860-544-4

Contents

A Note from the Author

v 1 3 7 13 15 21 25 29 33 39 45 49 51 55 59 63 71 75 81 87 91 97 107 111 113
iii

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

Introduction Stimulus-Response Agents Neural Networks Mach…(생략)

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