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

 - 3rd 
 - New Delhi  McGraw Hill Education (India) Pvt. Ltd.  2019 
 - xv, 568 p. 
<br/><br/>PART I: PROBLEMS AND SEARCH<br/><br/>Chapter 1. What is Artificial Intelligence?<br/>Chapter 2. Problems, Problem Spaces, and Search<br/>Chapter 3. Heuristic Search Techniques<br/><br/><br/>PART II: KNOWLEDGE REPRESENTATION<br/><br/>Chapter 4. Knowledge Representation Issues<br/>Chapter 5. Using Predicate Logic<br/>Chapter 6. Representing Knowledge Using Rules<br/>Chapter 7. Symbolic Reasoning Under Uncertainty<br/>Chapter 8. Statistical Reasoning<br/>Chapter 9. Weak Slot-and-Filler Structures<br/>Chapter 10. Strong Slot-and-Filler Structures<br/>Chapter 11. Knowledge Representation Summary<br/><br/><br/>PART III ADVANCED TOPICS<br/><br/>Chapter 12. Game Playing<br/>Chapter 13. Planning<br/>Chapter 14. Understanding<br/>Chapter 15. Natural Language Processing<br/>Chapter 16. Parallel and Distributed AI<br/>Chapter 17. Learning<br/>Chapter 18. Connectionist Models<br/>Chapter 19. Common Sense<br/>Chapter 20. Expert Systems 416<br/>Chapter 21. Perception and Action<br/>Chapter 22. Fuzzy Logic Systems<br/>Chapter 23. Genetic Algorithms:Copying Nature's Approaches<br/>Chapter 24. Artificial Immune Systems<br/>Chapter 25. Prolog-The Natural Language of Artificial Intelligence<br/>Chapter 26. Conclusion 
<br/><br/> This book presents both theoretical foundations of AI and an indication of the ways that current techniques can be used in application programs. With the revision, most of the content has been preserved as it is, and an effort has been put in on adding new topics that are in sync with the recent developments in this field. 
<br/><br/><label>ISBN: </label>9780070087705 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence
<br/><br/><label>Dewey Class. No.: </label>006.3  / RIC