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Interviews | June 19, 2009

All posts by Dave Jim Lynch Makes Landscape Art... Out of Text

If Carl Hiaasen set one of his novels on a residential stretch of boundary line between British Columbia and Washington, or if Richard Russo's characters had relatives in the Pacific Northwest, the result might be something like Jim Lynch's Border Songs. Continue »


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    Border Songs

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More copies of this ISBN:

Paradigms of Artificial Intelligence Programming: Case Studies in Common LISP

by Peter Norvig

Paradigms of Artificial Intelligence Programming: Case Studies in Common LISP Cover

ISBN13: 9781558601918
ISBN10: 1558601910
Condition: Standard
All Product Details

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Synopses & Reviews

Publisher Comments:

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.

Book News Annotation:

Reconstructs authentic, complex AI programs using Common Lisp, showing how to build and debug robust practical programs and demonstrating superior programming style and important AI concepts. Emphasizes practical issues and troubleshooting and includes discussion of object-oriented programming and the main CLOS functions.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

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.

Synopsis:

uild 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.

Description:

Includes bibliographical references (p. [901]-918) and index.

Table of Contents

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

Product Details

ISBN:
9781558601918
Subtitle:
Case Studies in Common LISP
Author:
Norvig, Peter
Publisher:
Morgan Kaufmann Publishers
Location:
San Francisco, Calif. :
Subject:
Programming Languages - General
Subject:
Data processing
Subject:
Artificial Intelligence
Subject:
Programming - Software Development
Subject:
Computer programming
Subject:
COMMON LISP (Computer program language)
Subject:
COMMON LISP
Subject:
Artificial Intelligence - General
Subject:
Programming - General
Subject:
Intelligence (AI) & Semantics
Subject:
Software Development & Engineering - General
Series Volume:
v. 32
Publication Date:
October 1991
Binding:
Paperback
Language:
English
Illustrations:
Yes
Pages:
946
Dimensions:
8.24x7.04x1.78 in. 3.62 lbs.

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