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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... sequence of moves that transforms an initial state into a goal state. The problem goal condition forms the basis for the termination condition of the production system. The control strategy repeatedly applies rules to state descriptions ...
... sequences of rules already tried and the databases they produced constitute what we call the control strategy for production ... sequence of them is found that produces a database satisfying the termination condition. Efficient control ...
... sequences of rules simultaneously. Various kinds of graph structures and graph searching procedures are used in this type of control. 1.1.4. EXAMPLES OF CONTROL REGIMES 1.1.4.1. Irrevocable. At first thought, it might seem that an ...
... sequence of states traversed by such a production system in solving this puzzle. The value of our hill-climbing function for each state description is circled. The figure shows that one of the rule applications along the path did not ...
... sequence of state descriptions produced by the production system. We cannot depict the entire search for a solution ... sequences of rules. We will be discussing these structures in much more detail in chapters 2 and 3, giving only 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 |