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.
- ISBN10 0934613109
- ISBN13 9780934613101
- Publish Date 1 January 1993
- Publish Status Out of Print
- Out of Print 7 October 2009
- Publish Country US
- Publisher Elsevier Science & Technology
- Imprint Morgan Kaufmann Publishers In
- Format Hardcover
- Pages 476
- Language English