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Paradigms of Artificial Intelligence Programming : Case Studies in Common Lisp

   
지은이 Peter Norvig   |   출판사 Morgan Kaufmann  |   발행일 1991년 10월 15일   |   언어 : English
 
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판매가 102,130원81,700원 20%
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발행일 1991-10-15 | 중량: 1.64 kg | 사이즈: 17.9*20.9*4.5 cm
ISBN 1558601910 |  9781558601918
기타정보 원서 | 946쪽 | $ 72.95
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Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical, performance issues of writing real working programs of significant size, including chapters on troubleshooting and efficiency. A discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions are included. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.


Here is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts.


Table of Contents

Preface

Pt. I Introduction to Common Lisp 1

1 Introduction to Lisp 3
2 A Simple Lisp Program 34
3 Overview of Lisp 48

Pt. II Early AI Programs 107

4 GPS: The General Problem Solver 109
5 ELIZA: Dialog with a Machine 151
6 Building Software Tools 175
7 Student: Solving Algebra Word Problems 219
8 Symbolic Mathematics: A Simplification Program 238

Pt. III Tools and Techniques 263

9 Efficiency Issues 265
10 Low-Level Efficiency Issues 315
11 Logic Programming 348
12 Compiling Logic Programs 388
13 Object-Oriented Programming 434
14 Knowledge Representation and Reasoning 460

Pt. IV Advanced AI Programs 507

15 Symbolic Mathematics with Canonical Forms 509
16 Expert Systems 530
17 Line-Diagram Labeling by Constraint Satisfaction 564
18 Search and the Game of Othello 596
19 Introduction to Natural Language 655
20 Unification Grammars 684
21 A Grammar of English 715
Pt. V The Rest of Lisp 751
22 Scheme: An Uncommon Lisp 753
23 Compiling Lisp 784
24 ANSI Common Lisp 834
25 Troubleshooting 866

Appendix 897

Bibliography 901

Index 919



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