McGraw-Hill, 1991 - 621 páginas
The breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference.
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Every search process can be viewed as a traversal of a tree structure in which
each node represents a problem state and each arc represents a relationship
between the states represented by the nodes it connects. For example. Figure
One other issue we should consider at this point is that of search trees versus
search graphs. As mentioned above, we can think of production rules as
generating nodes in a search tree. Each node can be expanded in turn,
generating a set of ...
Sports Economy Luxury (-) (+) (-) Figure 17.13: A Decision Tree training set, and
the new concept then becomes one disjunct in the eventual disjunctive concept
description. When all positive training instances have been removed, we are left
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very poor book for novice.Assumes u already know AI and the language is not at all user friendly.One has to read a sentence repeatedly to get a grasp and some times even then u don't understand.Go for other books much better than this
not soo good to go for novice
What Is Artificial Intelligence?
Problems Problem Spaces and Search
Heuristic Search Techniques
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