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More copies of this ISBN:Paradigms of Artificial Intelligence Programming: Case Studies in Common LISPby Peter Norvig
Synopses & ReviewsPublisher 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 Contentswith 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 What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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