Rich, Elaine. <br/><br/>
Artificial intelligence / 
Elaine Rich, Kevin Knight. 
 - 2nd ed. 
 - New York :  McGraw-Hill,  c1991. 
 - xvii, 621 p. :  ill. ;  25 cm. 
<br/><br/>Includes bibliographical references (p. 583-603) and indexes. 
<br/><br/>1. What Is Artificial Intelligence? 2. Problems, Problem Spaces and Search 3. Heuristic Search Techniques 4. Knowledge Representation Issues 5. Using Predicate Logic 6. Uncertain Reasoning 7. Weak Slot-and-Filler Structures 8. Strong Slot-and-Filler Structures 9. Knowledge Representation Summary 10. Game Playing 11. Planning 12. Large Knowledge-Based Systems 13. Understanding 14. Natural Language Processing 15. Learning 16. Connectionist Models 17. Perception and Action 18. Conclusion 
<br/><br/> Exploring artificial intelligence, this book covers topics like neural networks and robotics. It examines the range of problems which have been and remain to be solved using Artificial Intelligence tools and techniques.  
<br/><br/><label>ISBN: </label>0070522634  9780070522633 
<br/><br/><label>LCCN: </label>90020608  
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.
<br/><br/><label>LC Class. No.: </label>Q335  / .R53 1990 
<br/><br/><label>Dewey Class. No.: </label>006.3  / RIA 1991