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Paradigms of Artificial Intelligence…
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Paradigms of Artificial Intelligence Programming: Case Studies in Common LISP (edition 1991)

by Peter Norvig

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424463,063 (4.48)1
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 th… (more)
Member:chillihead
Title:Paradigms of Artificial Intelligence Programming: Case Studies in Common LISP
Authors:Peter Norvig
Info:Morgan Kaufmann Publishers Inc,US (1991), Paperback, 946 pages
Collections:Your library
Rating:****
Tags:computers, programming, lisp, artificial intelligence, computer science

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Paradigms of Artificial Intelligence Programming: Case Studies in Common LISP by Peter Norvig

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  pszolovits | Feb 3, 2021 |
I really enjoyed this book - it gave me an appreciation of AI programming, but more importantly taught how to think in Common Lisp. I would highly recommend this book to anyone! ( )
  fffej | Sep 5, 2009 |
A gem. Half the book teaches the Common Lisp programming language from elements through optimization, and most importantly, teaches how to think in Common Lisp.

The other half of the book recreates several classic AI programs, covering the theory and presenting complete implementations. The sections on Natural Language Processing go right up to the state of the art at the time of publication (Norvig worked on the Verbmobil project.) ( )
  nillacat | Mar 21, 2007 |
This review has been flagged by multiple users as abuse of the terms of service and is no longer displayed (show).
  knol | Dec 22, 2007 |
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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 th

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