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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It maps from elements of its domain ( the classes for which it makes sense ) to
elements of its range ( its possible values ) . A relation is a set of ordered pairs .
Thus it makes sense to say that one relation ( R1 ) is a subset of another ( R2 ) .
During the first step , the domain theory is used to prune away all the unimportant
aspects of the training example with respect to the goal concept . What is left is an
explanation of why the training example is an instance of the goal concept .
To solve expert - level problems , expert systems need access to a substantial
domain knowledge base , which must be built as efficiently as possible . They
also need to exploit one or more reasoning mechanisms to apply their
knowledge 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
Heuristic Search Techniques
Knowledge Representation Issues
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