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
Results 1-5 of 66
... applications. My organization of these ideas is not, then, based on the subject matter of their application, but is ... rule-based systems, robot problem-solving systems, and structured-object representations. One of the goals of this ...
... rule-based deduction systems, that are more suitable for many AI applications. To illustrate how these deduction systems might be used, several small examples, ranging from information retrieval to automatic programming, are presented ...
... rule-based system for synthesizing programs from descriptions of abstract algorithms [Barstow (1979)]. Rich and ... applications of a proposed mathematical science of computation. Work by Floyd (1967) and Naur (1966) explicitly ...
... rules, and a control system. The global database is the central data structure used by an AI production system. Depending on the application, this database may be as simple as a small matrix of numbers or as complex as a large ...
... rule in statement 4. Selecting rules and keeping track of those sequences of rules already tried and the databases they produced constitute what we call the control strategy for production systems. In most AI applications ... rule on every ...
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 |