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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Thus we see that although extracting a structured representation of the meaning
of the input text is an improvement over the meaning - free approach of Program
1 , it is by no means sufficient in general . So we need to look at an even more ...
The network adjusts its weights each time it sees an input - output pair . Each pair
requires two stages : a forward pass and a backward pass . The forward pass
involves presenting a sample input to the network and letting activations flow until
Algorithm : Competitive Learning Given : A network consisting of n binary -
valued input units directly connected to any ... Produce : A set of weights such
that the output units become active according to some natural division of the
inputs . 1 .
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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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