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 71
... condition on states to serve as a goal condition . Then the goal would be to achieve any state satisfying this condition . Such a condition implicitly defines some set of goal states . For example , in the 8 - puzzle , we might want to ...
... condition . That is , if we are to work on each component separately , we must be able to express the global termination condition using the termination conditions of each of the components . The most important case occurs when the ...
... condition C1 ,, we might be able to apply one of the other adders before F - rule j instead of F - rule k and thus eliminate rule k ( and all of its descendants ! ) . Obviously F - rule j and any of its ancestors that might add condition ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown