Principles of Artificial Intelligence
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.
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... attempt to place a queen in that row would fail . In such a circumstance , BACKTRACK would attempt to relocate the queen in row 5 , moving it eventually to column 8. But a more detailed analysis of the reasons for the row - 6 failures ...
... attempt to deduce a contradiction . If a goal expression is contradictory , it cannot be achieved . Checking for the consistency of goals is important in order to avoid wasting effort attempting to achieve those that are impossible ...
... attempt to find a match must look back through al arcs incident on N1 , a2 arcs incident on N2 , etc. ( We assume that our implementation of the network makes it easy to trace through arcs in the " reverse " direction . ) Some of these ...
PRODUCTION Systems and AI
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