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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... arcs , to represent the cost of applying the corresponding rule . We use the notation c ( ní , n , ) to denote the cost of an arc directed from node n , to node n ,. It will be important in some of our later arguments to assume that ...
Nils J. Nilsson. belongs . In Figure 9.20 we show , by dashed arcs , some of the possible a arcs that the matcher is permitted to seek . If it can find such an arc , the match is successful . Unless all of the goal arcs can be matched ...
... arcs incident on N2 , etc. ( We assume that our implementation of the network makes it easy to trace through arcs in the " reverse " direction . ) Some of these arcs originate from constant nodes and some from delineations . A good ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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