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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John height : 72 Bill height : Figure 9.13: Representing Slot- Values color(x, y) A
top-level-part-of(z, x) — > coloiiz, y) In addition to these domain-independent slot
attributes, slots may have domain- specific properties that support problem ...
During the first step, the domain theory is used to prune away all the unimportant
aspects of the training example with respect to the goal concept. What is left is an
explanation of why the training example is an instance of the goal concept.
To solve expert-level problems, expert systems need access to a substantial
domain knowledge base, which must be built as efficiently as possible. They also
need to exploit one or more reasoning mechanisms to apply their knowledge to
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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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