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
Results 1-3 of 64
... LANGUAGE PROCESSING When humans communicate with each other using language , they employ , almost effortlessly , extremely complex and still little understood processes . It has been very difficult to develop computer systems capable of ...
... language . Fundamental to the development of such systems are certain Al ideas about structures for representing contextual knowledge and certain techniques for making inferences from that knowledge . Although we do not treat the language ...
... language as components of the global databases of production systems . Before describing exactly how this language is used in AI systems , however , we must define the language , show how it is used to represent statements , explain how ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown