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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... called Machine 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 ...
... called the SIGART Newsletter. In Britain, the Society for the Study of Artificial Intelligence and Simulation of Behavior publishes the AISB Quarterly and holds biannual summer conferences. The Canadian Society for Computational Studies ...
... called a global database that is manipulated by certain well-defined operations, all under the control of some global control strategy. We stress the importance of identifying an appropriate level of description; near the machine-code ...
... called the representation problem in AI. Usually there are several ways to so represent a problem. Selecting a good representation is one of the important arts involved in applying AI techniques to practical problems. For the 8-puzzle ...
... called a search tree. An example of such a tree is in Figure 1.4. At the top or root of the tree is a description of the initial configuration. The various rules that can be applied correspond to links or directed arcs to descendant ...
Contents
1 | |
17 | |
CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS | 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 |