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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The problem goal condition forms the basis for the termination condition of the production system. The control strategy repeatedly applies rules to state descriptions until a description of a goal state is produced.
Procedure PRODUCTION 1 DATA - initial database 2 until DATA satisfies the termination condition, do: 3 begin 4 select some rule, R, in the set of rules that can be applied to DATA 5 DATA - result of applying R to DATA 6 end 1.1.3.
Our hill-climbing function must be such that it attains its highest value for a database satisfying the termination condition. Applying hill-climbing to the 8-puzzle we might use, as a function of the state description, the negative of ...
A graph-search control strategy grows such a tree until a database is produced that satisfies the termination condition. In Figure 1.4, we show all applicable rules being applied to every state description. This sort of indecision on ...
Any global database beginning and ending with A and naming all of the other cities satisfies the termination condition. Notice that we can use the. Fig. 1.6 A search tree for the traveling salesman problem. Fig.
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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