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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Figure 14.8: A Line Drawing with Local Ambiguity Noise in the Input
Understanding is the process of interpreting an input and assigning it meaning.
Unfortunately, in many understanding situations the input to which meaning
should be ...
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 number ... Produce: A set of weights such
that the output units become active according to some natural division of the
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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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