Principles of Artificial IntelligenceA 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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... match workers reflect my sample of the communes of Pantin-Aubervilliers unless otherwise specified. Illustration: The Story of the Match Map 2: Match Factories in 1875 Map II: Match Factories in 1890 Chart I: Chart II: Age at Which ...
Lex Friedman. Lesson. 1. Getting. Started. with. iTunes. Match. In this lesson, you learn to sign up for iTunes Match, begin the matching process, add columns to your iTunes library to better see how Match works, master the different iTunes ...
... match and '0', otherwise. The method iteratively searches for the match matrix M that provides the maximum conditional probability P(o|o ,M) of the source ontology o, given the target one o and the match assignment made through the ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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