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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During the backward pass , the network ' s actual output ( from the forward pass )
is compared with the target output and error estimates are computed for the
output units . The weights connected to the output units can be adjusted in order
Produce : A set of weights such that the output units become active according to
some natural division of the inputs . 1 . Present an ... Calculate the initial
activation for each output unit by computing a weighted sum of its inputs . 10 3 .
Let the ...
State Units Plan Units Output Units Hidden Units Figure 18 . 22 : A Jordan
Network of muscles ) , but we need more than a single output vector . We need a
series of output vectors : first move the muscles this way , then this way , then this
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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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