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Overview of A.I:  Introduction to AI, Importance of AI, AI and its related field, AI techniques, Criteria for success.

Problems, problem space and search: Defining the problem as a state space search, Production system and its characteristics, Issues in the design of the search problem

Heuristic search techniques :Generate and test, hill climbing, best first search technique, problem reduction, constraint     satisfaction         

 

Knowledge representation:            Definition and importance of knowledge, Knowledge representation, Various approaches used in knowledge representation, Issues in knowledge representation

Using Predicate Logic :Represent ting Simple Facts in logic, Repsenting instances and isa relationship, Computable function and predicate.                                            

 

Natural language processing :Introduction syntactic processing, Semantic processing, Discourse and pragmatic processing

Learning: Introduction learning, Rote learning, Learning by taking advice, Learning in problem solving, Learning from example-induction, Explanation based learning

 

Expert System: Introduction,Repsenting using domain specific knowledge,Expert system shells.

LISP and other AI Programming Language                                                         

 

 

Text Book:

1.         E. Rich and K. Knight,   "Artificial intelligence", TMH, 2nd ed., 1999.

 

Reference:

1.         D.W. Patterson, "Introduction to AI and Expert Systems", PHI, 1999

2.         Nils J Nilsson ,"Artificial Intelligence -A new Synthesis" 2nd Edition (2000), Harcourt Asia Ltd.

 

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