Artificial Intelligence Programming

Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.

1101449981
Artificial Intelligence Programming

Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.

69.99 In Stock
Artificial Intelligence Programming

Artificial Intelligence Programming

Artificial Intelligence Programming

Artificial Intelligence Programming

eBook

$69.99 

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Overview

Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.


Product Details

ISBN-13: 9781317767985
Publisher: Taylor & Francis
Publication date: 01/21/2014
Sold by: Barnes & Noble
Format: eBook
Pages: 554
Lexile: 1230L (what's this?)
File size: 58 MB
Note: This product may take a few minutes to download.

About the Author

Eugene Charniak, Christopher K. Riesbeck, Drew V. McDermott, James R. Meehan

Table of Contents

Contents Part I:Lisp Programming.Lisp Review. Macros and Read-Macros. Data Structures and Control Structures in Lisp. Input/Output in Lisp. Compiling Your Program and Your Program's Program. Data-Driven Programming and Other Programming Techniques. Higher-Order Functions, Continuations, and Coroutines. Part IIAI Programming Techniques.Simple Discrimination Nets. Agenda Control Structures. Deductive Information Retrieval. Discrimination Nets With Variables. Production Systems. Slot and Filler Data Bases. Chronological Backtracking. Data Dependencies and Reason Maintenance Systems. Appendix 1: A Glossary of Common Lisp Functions. Answers to Selected Exercises.

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