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
... procedure PRODUCTION, and the decomposable type, described by procedure SPLIT. Depending on the way a problem is represented for solution by a production system, either of these types might be used in a forward or backward direction ...
... procedure SPLIT, should the selection made in step 5 be a backtracking point? Discuss. If step 5 is not a backtracking point, are there any differences between procedure SPLIT under backtracking and procedure PRODUCTION under ...
... procedure for production systems given on page 21, the fundamental control problem is to select an applicable rule to apply in step 4. For decomposable production systems (page 39), the control problem is to select a component database ...
... procedure captures the essence of the operation of a production system under backtracking control. This procedure, which we call BACKTRACK, takes a single argument, DATA, initially set equal to the global database of the production ...
... procedure fails. 5 R - FIRST(RULES); the best of the applicable rules is selected. 6 RULES - TAIL(RULES); the list of applicable rules is diminished by removing the one just selected. 7 RDATA – R(DATA); rule R is applied to produce a ...
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 |