Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp / Edition 1

Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp / Edition 1

5.0 2
by Peter Norvig
     
 

ISBN-10: 1558601910

ISBN-13: 9781558601918

Pub. Date: 10/15/1991

Publisher: Elsevier Science

Paradigms of AI Programming 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

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Overview

Paradigms of AI Programming 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. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. 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.

Product Details

ISBN-13:
9781558601918
Publisher:
Elsevier Science
Publication date:
10/15/1991
Edition description:
New Edition
Pages:
946
Sales rank:
696,288
Product dimensions:
1.92(w) x 7.50(h) x 9.25(d)

Table of Contents

1 Introduction to Lisp
2 A Simple Lisp Program
3 Overview of Lisp
4 GPS: The General problem Solver
5 Eliza: Dialog with a Machine
6 Building Software Tools
7 Student: Solving Algebra Word Problems
8 Symbolic Mathematics: A Simplification Program
9 Efficiency Issues
10 Low-Level Efficiency Issues
11 Logic Programming
12 Compiling Logic programs
13 Object-Oriented Programming
14 Knowledge Representation and Reasoning
15 Symbolic Mathematics with Canonical Forms
16 Expert Systems
17 Line-Diagram Labeling by Constraint Satisfaction
18 Search and the Game of Othello
19 Introduction to Natural Language
20 Unification Grammars
21 A Grammar of English
22 Scheme: An Uncommon Lisp
23 Compiling Lisp
24 ANSI Common Lisp
25 Troubleshooting

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Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp 5 out of 5 based on 0 ratings. 2 reviews.
Bob_G_Trapp More than 1 year ago
I love this book.  I bought it while taking a course in LISP and Artificial Intelligence and it was a great supplement to the course materials.  Once the course was over, I continued to work through the book.  IT has not only improved my LISP programming, but some of the ideas have helped in my other software projects as well.  I cannot say enough good things about this book.
Guest More than 1 year ago
One of the best written books on the field. It really helped me see how things work from the inside and took away the awe I used to have for anything involving AI. It shows in detail how things work, what is the motivation and the reasoning behind every choice that is made ... so the reader can follow the thinking of the writer and doesn't feel lost in the mass of code presented in the book.