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. |
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... action of picking up a block changes the state of the world ; application of the F - rule that models the action of picking up a block should make a corresponding change to the state description . A sequence of actions for achieving a ...
... actions ; and if an execution error destroys the results of previous actions , the appropriate actions can be re - executed . To find the appropriate matching kernel , we check each one in turn starting with the highest numbered one ...
... actions and plans . In addition to these , we might mention the work of Moore ( 1979 ) who combines a technique for reasoning about actions with one for reasoning about knowledge ( see below ) . The interaction between action and ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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