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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In our new system, we call any inference that depends on the lack of some piece
of knowledge a nonmonotonic inference} Allowing such reasoning has a
significant impact on a knowledge base. Nonmonotonic reasoning systems
derive their ...
In particular, in nonmonotonic systems, there are often portions of the knowledge
base that are locally consistent but mutually (globally) inconsistent. As we show
below, many techniques for reasoning nonmonotonically are able to define the ...
Nonmonotonic Logic3 • Default Logic We then describe two common kinds of
nonmonotonic reasoning that can be defined in those logics: • Abduction •
Inheritance Nonmonotonic Logic One system that provides a basis for default
reasoning is ...
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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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