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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One of the decisions we will have to make is which card to play on the first trick.
What we would like to do is to plan the entire hand before making that first play.
But now it is not possible to do such planning with certainty since we cannot
In other words, when playing a card that is the same suit as the card that was
played first, if the trick possibly contains points, then play a low card. At last, FOO
has translated the rather vague advice "avoid taking points" into a specific,
This is no easy trick. The space of possible analogies is very large. We do not
want to entertain possibilities such as "the stock market is like a roller coaster
because it is made of metal." Figure 17.19: Transformational Analogy Lakoff and
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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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