Rich, Elaine <br/><br/>
Artificial intelligence 

 - 3rd ed. 
 - New Delhi. :  Tata McGraw-Hill  2010 
 - xviii, 568 p.;  PAPER BACK  23 cm. 
<br/><br/> Computer Science 
<br/><br/>CONTENTS:<br/>Preface to the third edition<br/>Preface to the second edition<br/><br/>Part I: Problems and search<br/>1. What is artificial intelligence?<br/>2. Problems, problem spaces and search<br/>3. Heuristic search techniques<br/><br/>Part II: Knowledge representation<br/>4. Knowledge representation issues<br/>5. Using predicate logic<br/>6. Representing knowledge using rules<br/>7. Symbolic reasoning under uncertainty<br/>8. Statistical reasoning<br/>9. Weak slot-and-filler structures<br/>10. Strong slot-and -filler structures<br/>11. Knowledge representation summary<br/><br/>Part III: Advanced topics<br/>12. Game playing<br/>13. Planning<br/>14. Understanding<br/>15. Natural language processing<br/>16. Parallel and distributed AI<br/>17. Learning<br/>18. Connectionist models<br/>19. Common sense<br/>20. Expert systems<br/>21. Perception and action<br/>22. Fuzzy logic systems<br/>23. Genetic algorithms: copying nature's approaches<br/>24. Artificial immune systems<br/>25. Prolog - The natural language of artificial intelligence<br/>26. Conclusion<br/><br/>References<br/>Author index<br/>Subject index 
<br/><br/> Artificial, intelligence. 
<br/><br/><label>ISBN: </label>9780070087705 
<br/><br/><label>Subjects--Index Terms: </label>Computer Science, IT  
<br/><br/><label>Dewey Class. No.: </label>001.535  / RIC