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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... FACT EXPRESSIONS An AND / OR graph can be used to represent a fact expression in AND / OR form . For example , the AND / OR tree of Figure 6.1 repre- sents the fact expression that we just put into AND / OR form above . Each ...
... fact expressions used by our backward system are limited to those in the form of a conjunction of literals . Such expressions can be represented as a set of literals . Analogous to the forward system , when a fact literal matches a ...
... fact graph . ) The termination condition we have just described is adequate for many problems but would fail to detect that the goal graph follows from the fact graph in Figure 6.31 . A more general sort of " fact - goal " resolution ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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