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This book is primarily and seconderly published for use for an undergraduate course or course outline. It can also be used in a graduate and for all those students whos are want to take admission in gratuate level course. 

 Because of its comprehensive and detailesd coverage, the large number of detailed algorithms and boundries, it is useful as a primary and secondry reference volume and lessons for AI graduate students and for the instructor also and professionals wishers to branch out their own subfield and occupations.

Information:

Book name:
Artificial Intelligence | A Modern Approach 
Edition:
New age
Author name:
Stuart J. Russell and Peter Norvig
Book Size:
36 MB
Format:
PDF Rich documents
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This item was last posted by Ghlam Mujtaba Khan


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Each year hundreds of books and doctoral theses extend our knowledge of
computer, or artificial, intelligence. Expert systems, artificial neural networks,
fuzzy systems and evolutionary computation are major technologies used in
intelligent systems. Hundreds of tools support these technologies, and thousands
of scientific papers continue to push their boundaries. The contents of any
chapter in this book can be, and in fact is, the subject of dozens of monographs.
However, I wanted to write a book that would explain the basics of intelligent
systems, and perhaps even more importantly, eliminate the fear of artificial
intelligence.
Most of the literature on artificial intelligence is expressed in the jargon of
computer science, and crowded with complex matrix algebra and differential
equations. This, of course, gives artificial intelligence an aura of respectability,
and until recently kept non-computer scientists at bay. But the situation has
changed!
The personal computer has become indispensable in our everyday life. We use
it as a typewriter and a calculator, a calendar and a communication system, an
interactive database and a decision-support system. And we want more. We want
our computers to act intelligently! We see that intelligent systems are rapidly
coming out of research laboratories, and we want to use them to our advantage.
What are the principles behind intelligent systems? How are they built? What
are intelligent systems useful for? How do we choose the right tool for the job?
These questions are answered in this book.
Unlike many books on computer intelligence, this one shows that most ideas
behind intelligent systems are wonderfully simple and straightforward. The book
is based on lectures given to students who have little knowledge of calculus. And
readers do not need to learn a programming language! The material in this book
has been extensively tested through several courses taught by the author for the
past decade. Typical questions and suggestions from my students influenced
the way this book was written.






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This item was last posted by Ghulam Mujtaba Khan

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