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Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp (Paperback)

by Peter Norvig (Author) "This chapter is for people with little or no experience in Lisp..." (more)
Key Phrases: funcall cont, setf result, sistent vertex, Common Lisp, Answers Answer, Lisp Machine (more...)
4.9 out of 5 stars  (7 customer reviews)

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Buy this book with ANSI Common LISP (Prentice Hall Series in Artificial Intelligence) by Paul Graham today!

Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp ANSI Common LISP (Prentice Hall Series in Artificial Intelligence)
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Editorial Reviews
Amazon.com
This is an overview of classical artificial intelligence (AI) programming via actual implementation of landmark systems (case studies). For the student interested in AI, Paradigms of Artificial Intelligence Programming is an invaluable history lesson. Even the programmer who is relatively uninterested in AI will find value in the book's basic introduction to Lisp and case studies written in Lisp. But perhaps the book's best feature is its information on efficiency considerations in Lisp. Paradigms of Artificial Intelligence Programming is worth purchasing for these discussions alone, which provide a wealth of useful guidelines for optimizing your code.

Book Description
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.

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Product Details
  • Paperback: 946 pages
  • Publisher: Morgan Kaufmann; 1 edition (October 1, 1991)
  • Language: English
  • ISBN-10: 1558601910
  • ISBN-13: 978-1558601918
  • Product Dimensions: 9.2 x 7.4 x 1.7 inches
  • Shipping Weight: 3.7 pounds (View shipping rates and policies)
  • Average Customer Review: 4.9 out of 5 stars  (7 customer reviews)
  • Amazon.com Sales Rank: #129,942 in Books (See Bestsellers in Books)

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