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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A good system for the representation of knowledge in a particular domain should
possess the following four properties: Representational Adequacy — the ability to
represent all of the kinds of knowledge that are needed in that domain.
Figure 4.4: Simple Relational Knowledge The reason that this representation is
simple is that standing alone it provides very weak inferential capabilities. But
knowledge represented in this form may serve as the input to more powerful ...
But powerful programs depend on powerful knowledge, some of which is
typically embedded in their problem- solving procedures and some of which is
embedded in their knowledge representation mechanisms. In fact, as we have
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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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