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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Now the learning problem is: Given a representation language such as in Figure
17.8, and given positive and negative training examples such as those in Figure
17.7, how can we produce a concept description such as that in Figure 17.9 that ...
An EBL system attempts to learn from a single example x by explaining why x is
an example of the target concept. The explanation is then generalized, and the
system's performance is improved through the availability of this knowledge.
AM was instructed to call the last concept "primes." Before pursuing this concept,
AM went on to list numbers with three divisors, such as 49. AM tried to relate this
property with other properties of 49. such as its being odd and a perfect square.
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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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