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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... simple strategy can sometimes be usefully employed . ) A backtracking regime does not maintain the entire search tree structure ; it merely keeps track of the path that it is working on currently , modifying it when necessary . 1.1.5 ...
... simple context - free grammar that defines a language . As an example , let the grammar contain the following terminal symbols , of approves new president company sale the and the following non - terminal symbols , S NP VP PP PV DNP DET ...
... simple atomic formula using WRITE and two terms , denoting the writer and what is written . For example , to represent the sentence " Voltaire wrote Can- dide , " we might use the simple atomic formula : WRITE ( VOLTAIRE , CANDIDE ) ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown