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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... global database that is manipulated by certain well-defined operations, all under the control of some global control strategy. We stress the importance of identifying an appropriate level of description; near the machine-code level, any ...
... global database. If the precondition is satisfied, the rule can be applied. Application of the rule changes the database. The control system chooses which applicable rule should be applied and ceases computation when a termination ...
... global database, the rules, and the control strategy. Transforming a problem statement into these three components ... global database of a production system. For the 8-puzzle, a straightforward description is a 3 X 3 array or matrix of ...
... global knowledge, of the complete solution. When infallible local knowledge is available, an irrevocable production ... database giving 22 PRODUCTION SYSTEMS AND AI.
... global database shall be a list of the cities visited so far. Thus the initial database is described by the list (A). We do not allow lists that name any city more than once, except that after all of the other cities have been named, A ...
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