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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... rules applied and the databases produced by a structure 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 ...
... rules that ought to be combined into macro-rules. For example, an initial representation of the 8-puzzle might ... production system. 1.1.6. SOME EXAMPLE PROBLEM REPRESENTATIONS A wide variety of problems can be set up for solution by our ...
... rules correspond to the decisions (a) go to city A next, (b) go to city B next, ..., and (e) go to city E next. A rule ... PRODUCTION SYSTEMS AND AI.
... production rules are derived from the rewrite rules of the grammar. The right-hand side of a grammar rule can replace any occurrence of the left-hand side in a database. For example, the grammar rule DNP VP → S is used to change any ...
... production system for solving the 8-puzzle in this manner would merely reverse the roles of states and goals and would use rules that correspond to inverse moves. Setting up a backward-directed production system in the case of the 8 ...
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 |