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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... INTELLIGENT RETRIEVAL FROM DATABASES Two excellent books on database systems are those of Date (1977) and Wiederhold (1977). An important paper by Codd (1970) formalizes a relational model for database management. Papers describing ...
... Intelligence (MI) and a volume entitled Computers and Thought (CT) of important early papers edited by Feigenbaum and Feldman (1963). The international journal Artificial Intelligence is a primary publication medium for papers in the ...
... Artificial Intelligence and Simulation of Behavior publishes the AISB Quarterly and holds biannual summer conferences. The Canadian Society for Computational Studies of Intelligence (CSCSI/SCEIO) publishes an occasional newsletter. Some ...
... intelligent control strategy would grow a much narrower tree, using its special knowledge to focus the growth more directly toward the goal. We shall be discussing several methods for achieving such focusing in chapter 2. Even though we ...
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 |