Artificial intelligence
Elaine Rich, Kevin Knight, Shivashankar B Nair
- 3rd ed
- New Delhi McGraw Hill Education (India) Private Limited 2009
- xviii, 568 p. : illustrations ; 24 cm
Includes bibliographical references and index. pt. I. Problems and search -- What is artificial intelligence? -- Problems, problem spaces, and search -- Heuristic search techniques -- pt. II. Knowledge representation -- Knowledge representation issues -- Using predicate logic -- Representing knowledge using rules -- Symbolic reasoning under uncertainty -- Statistical reasoning -- Weak slot-and-filler structures -- Strong slot-and-filler structures -- Knowledge representation summary -- pt. III. Advanced topics -- Game playing -- Planning -- Understanding -- Natural language processing -- Parallel and distributed AI -- Learning -- Connectionist models -- Common sense -- Expert systems -- Perception and action -- Fuzzy logic systems -- Genetic algorithms : copying nature's approaches -- Artificial immune systems -- Prolog : the natural language of artificial intelligence