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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state, his parallel relaxation algorithm would eventually steer the network into a
stable state. There can be no divergence or ... a whale is a mammal, not a fish.
Even if the initial state contains inconsistencies, a Hopfield network will settle into
In the next section, we look closely at learning in several neural network models,
including perceptrons, backpropagation networks, and Boltzmann machines, a
variation of Hopfield networks. After this, we investigate some applications of ...
Figure 18.21: The Representation of a Traveling Salesman Tour in a Hopfield
Network according to the rule described in Section ... Hopfield and Tank 
have used these networks to come up with quick, approximate solutions to
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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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