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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Instructors may find it useful to use selected exercises as a basis for class discussion. Pertinent references are briefly discussed at the end of every chapter. These citations should provide the interested student with adequate entry ...
But why should this detector be selected instead of the countless others that might have been used? The strategy of making hypotheses about various levels of description and then testing these hypotheses seems to offer an approach to ...
Selecting a good representation is one of the important arts involved in applying AI techniques to practical problems. For the 8-puzzle and certain other problems, we can easily identify elements of the problem that correspond to these ...
Selecting rules and keeping track of those sequences of rules already tried and the databases they produced ... Efficient control strategies require enough knowledge about the problem being solved so that the rule selected in step 4 has ...
when a rule is selected. Should subsequent computation encounter difficulty in producing a solution, the state of the computation reverts to the previous backtracking point, where another rule is applied instead, and the process ...
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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