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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... the subject domain database) is often required. For example, from the personnel facts mentioned above, an intelligent system ought to be able to deduce the answer “John Jones” to the query “Who 3 SOME APPLICATIONS OF ARTIFICIAL ...
... Artificial Intelligence. 0.1.3. EXPERT CONSULTING SYSTEMS AI methods have also been employed in the development of automatic consulting systems. These systems provide human users with expert conclusions about specialized subject areas ...
... sense, existing compilers already do “automatic programming.” They take in a complete source code specification of what a program is to accomplish, and they write an object code program to do 5 SOME APPLICATIONS OF ARTIFICIAL INTELLIGENCE.
... for primitive picture components such as line segments, simple curves, corners, etc. These, in turn, are processed to infer information about the three-dimensional character of the scene in 7 SOME APPLICATIONS OF ARTIFICIAL INTELLIGENCE.
... intelligence is contained in Boden (1977). McCorduck (1979) has written an interesting book about the history of artificial intelligence. Marr's (1977) essay and Simon's (1969) book discuss AI research as a scientific endeavor. Cohen ...
Contents
1 | |
17 | |
53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |