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.
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-and-error methods seem to be inherent in solving puzzles, ...
From the initial state, we achieve maximum increase in the value of this function by moving the blank up, so our production system selects the corresponding rule. In Figure 1.2 we show the sequence of states traversed by such a ...
In Figure 1.3, each state description is labeled by a (circled) number to indicate its order in the sequence of state descriptions produced by the production system. We cannot depict the entire search for a solution in the figure; ...
This sort of indecision on the part of the control system is usually grossly inefficient because the resulting tree grows too rapidly. An intelligent control strategy would grow a much ... $3 Start : : i : 8 2 : ! 27 PRODUCTION SYSTEMS.
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CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS
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