Principles of Artificial Intelligence
Morgan Kaufmann, Jun 28, 2014 - Computers - 476 pages
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.
Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
From inside the book
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Nils J. Nilsson. Principles of Artificial Intelligence Nils J. Nilsson PRINCIPLES OF ARTIFICIAL INTELLIGENCE Principles Of Artificial Intelligence NILS J. Front Cover.
Nils J. Nilsson. PRINCIPLES OF ARTIFICIAL INTELLIGENCE Principles Of Artificial Intelligence NILS J. NILSSON Stanford University MORGAN.
Principles Of Artificial Intelligence NILS J. NILSSON Stanford University MORGAN KAUFMANN PUBLISHERS, INC. Library of Congress Cataloging-in-Publication Data Nilsson, Nils J., 1933– Principles Principles of Artificial Intelligence.
Library of Congress Cataloging-in-Publication Data Nilsson, Nils J., 1933– Principles of artificial intelligence. Reprint. Originally published: Palo Alto, Calif. : Tioga Pub.Co., (C) 1980. Bibliography: p. Includes indexes. 1.
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CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS