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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5 Exercises . . . . . . . . . . 433 445 445 447 448 . . . 17 Learning 17 . 1 What Is
Learning ? . . . . . . . . 447 17 . 2 Rote Learning 17 . 3 Learning by Taking Advice . .
. . . 17 . 4 Learning in Problem Solving . . . 17 . 5 Learning from Examples :
computer programs , e . g . , database systems , can be said to “ learn " in this
sense , although most people would not call such simple storage learning .
However , many Al programs are able to improve their performance substantially
9 Formal Learning Theory Like many other Al problems , learning has attracted
the attention of mathematicians and theoretical computer scientists . Inductive
learning in particular has received considerable attention . Valiant ( 1984 )
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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
Heuristic Search Techniques
Knowledge Representation Issues
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