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

4.7 4.7 out of 5 stars 62 ratings

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Editorial Reviews

Amazon.com Review

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.

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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. -- Book Description

Product details

  • Publisher ‏ : ‎ Morgan Kaufmann; 1st edition (October 15, 1991)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 976 pages
  • ISBN-10 ‏ : ‎ 1558601910
  • ISBN-13 ‏ : ‎ 978-1558601918
  • Item Weight ‏ : ‎ 3.63 pounds
  • Dimensions ‏ : ‎ 7.52 x 1.92 x 9.25 inches
  • Customer Reviews:
    4.7 4.7 out of 5 stars 62 ratings

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I live in Palo Alto, CA with my wife and two children. I am currently the Director of Research for Google, and I am teaching an Intro AI class at Stanford and online for the world. You can buy some of my books here at Amazon.

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4.7 out of 5 stars
4.7 out of 5
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