Artificial Intelligence

Group A
Introduction. Cognitive science and percepti on problems. Problem solving paradigm,
introduction to search techniques, problem re presentations through heuristics, search spaces
and/or graphs.
Basic heuristic search procedures, specialized  search techniques, decomposable search
strategies.
Knowledge representation through propositional and pr edicate logic, fuzzy logic and some
applications. Solutions of artificial intelligence problems by PROLOG. 

Group B
Rule based deduction and expert syst ems with an example of MYCIN.
Knowledge engineering, inference engines and expert system shells.
Computer vision and natural language processing.
Concept of neural network.

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