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Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

Norvig, Peter

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9781558601918: Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

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.

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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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By Peter Norvig

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Norvig, Peter Author
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Book Description Morgan Kaufmann, 1991. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 1 Introduction to Lisp 2 A Simple Lisp Program 3 Overview of Lisp 4 GPS: The General problem Solver 5 Eliza: Dialog with a Machine 6 Building Software Tools 7 Student: Solving Algebra Word Problems 8 Symbolic Mathematics: A Simplification Program 9 Efficiency Issues 10 Low-Level Efficiency Issues 11 Logic Programming 12 Compiling Logic programs 13 Object-Oriented Programming 14 Knowledge Representation and Reasoning 15 Symbolic Mathematics with 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. Bookseller Inventory # ABE_book_new_1558601910

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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 1991. Paperback. Book Condition: New. 234 x 188 mm. Language: English Brand New Book. 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. Bookseller Inventory # AAZ9781558601918

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Book Description ELSEVIER SCIENCE TECHNOLOGY, United States, 1991. Paperback. Book Condition: New. 234 x 188 mm. Language: English Brand New Book. 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. Bookseller Inventory # AAZ9781558601918

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