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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... component is processed to completion before processing begins on the next . Of course , when a production rule is applied to a component , a database may result that can itself be split . The components of this database are processed in ...
... component in different subgoals is to isolate a goal component and work on it alone until it is solved . After solving one of the components , by finding an appropriate sequence of F - rules , we can return to the compound goal and ...
... component goal , ON ( B , C ) , would be harder to solve . There seems no way to solve this problem by selecting one component , solving it , and then solving the other compo- nent without undoing the solution to the first . We say that ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown