23AD02-ARTIFICIAL INTELLIGENCE

UNIT-V : Expert Systems:      PPT

Architecture of expert systems, Roles of expert systems – Knowledge Acquisition Meta knowledge Heuristics. Typical expert systems – MYCIN, DART, XCON: Expert systems shells.

UNIT - IV  Logic concepts:

First order logic. Inference in first order logic, propositional vs. first order inference, unification & lifts forward chaining, Backward chaining, Resolution, Learning from observation Inductive learning, Decision trees, Explanation based learning, Statistical Learning methods, Reinforcement Learning.

• FOL                
• Inferences in FOL                   Forward and Backward Chaining
• Learning 

UNIT - III  Representation of Knowledge: 

Knowledge representation issues, predicate logic- logic programming, semantic nets- frames and inheritance, constraint propagation, representing knowledge using rules, rules based deduction systems. Reasoning under uncertainty, review of probability, Bayes’ probabilistic interferences and dempster shafer theory.