UNIT -I Introduction
Introduction to Artificial Intelligence, Simulation of sophisticated & Intelligent Behavior in different area problem 3OIving in games, natural language, automated reasoning, visual perception, heuristic algorithm versus solution guaranteed algorithms.
UNIT - II Understanding Natural Languages.
Parsing techniques, context free and transformational grammars, transition nets, augmented transition nets, Fillmore's grammars, Shanks Conceptual Dependency, grammar free analyzers, sentence generation, and translation.
UNIT III Knowledge Representation
First order predicate calculus, Horn Clauses, Introduction to PROLOG, Semantic Nets, Partitioned Nets, Minskey frames, Case Grammar Theory, Production Rules Knowledge Base, The Interface System, Forward & Backward Deduction.
UNIT - IV Expert System
Existing Systems (DENDRAL, MYCIN) domain exploration Meta Knowledge, Expertise Transfer, Self Explaining System
UNIT - V Pattern Recognition
Introduction to Pattern Recognition, Structured Description, Symbolic Description, Machine perception, Line Finding, Interception Semantic & Model, Object Identification, Speech Recognition. Programming Language Introduction to programming Language, LISP, PROLOG
References:
- 1. Charnick “Introduction to A.I.”, Addision Wesley
- 2. Rich & Knight, “Artificial Intelligence”
- 3. Winston, “LISP”, Addision Wesley
- 4. Marcellous, “Expert System Programming”, PHI
- 5. Elamie, “Artificial Intelligence”, Academic Press
- 6. Lioyed, “Foundation of Logic Processing”, Springer Verlag