Principles of Artificial Intelligence
A 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.
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... CONTROL The above procedure is nondeterministic because we have not yet specified precisely how we are going to ... regime, an applicable rule is selected and applied irrevocably without provision for reconsideration later. In a ...
... control. 1.1.4. EXAMPLES OF CONTROL REGIMES 22.214.171.124. Irrevocable. At first thought, it might seem that an irrevocable control regime would never be appropriate for production systems expected to solve problems requiring search. Trial ...
... control strategy cannot always select the best rule to apply at any stage, there are times where an irrevocable regime is appropriate. For example, if the application of what might turn out to be an inappropriate rule does not foreclose ...
... control regime might get stuck on local maxima, backtracking allows alternative paths to be pursued. 1.1.43. Graph Search. Graphs (or more specially, trees) are extremely useful structures for keeping track of the effects of several ...
... control regime in. # | | | : | | & | : # ; | 4 7| 5 (5) # | | # 4 7|5 | # # : 6 (3) 8 2 1 Q) 8 2 7|5 7 : 6 4 7|5 Again, we have applied six rules without reaching a goal, SO, etc. This state occurs on the path back to the initial state ...
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS