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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They are good to the extent that they point in generally interesting directions; they
are bad to the extent that they may miss points of interest to particular individuals.
Some heuristics help to guide a search process without sacrificing any claims ...
There are usually several different ways of representing a given fact within a
particular representational framework, be it logic or anything else. The choice
depends partly on which deductions need to be supported most efficiently and
partly on ...
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 ...
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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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