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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... search, backtracking control strategies are often perfectly adequate and efficient. Compared with graph-search control regimes, backtracking strategies are typically simpler to implement and require less storage. A simple recursive ...
... GRAPH-SEARCH STRATEGIES In backtracking strategies, the control system effectively 60 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS.
... graph-search strategies. In our discussions of graph-search strategies, we speak as if. Fig. 2.2 Queen positions during a stage of BACKTRACK. Fig. 2.3 A tree of databases. 61 GRAPH-SEARCH STRATEGIES 2.2. Graph-search Strategies.
Nils J. Nilsson. In our discussions of graph-search strategies, we speak as if the various databases produced by rule applications are ... search graph and search tree before expanding node. 62 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS.
... graph. Often it is convenient to assign positive costs to arcs, to represent the cost of applying the corresponding rule. We use the notation c (ni, n,) to denote the cost of an arc directed from node n, to node n ... GRAPH-SEARCH STRATEGIES.
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 |