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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Connectionist models can be divided [Touretzky, 1989b] into the following
categories based on the complexity of the problem and the network's behavior: •
Pattern recognizers and associative memories • Pattern transformers • Dynamic ...
Connectionist knowledge representation offers other advantages besides
learnability. Touretzky and Geva  discuss the fluidity and richness of
connectionist representations. In connectionist models, concepts are represented
as feature ...
Another idea is to take a symbolic notion and implement it in a connectionist
framework. Touretzky and Hinton  describe a connectionist production
system, and Derthick  describes a connectionist semantic network. A third
idea is ...
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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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