Credit

4.00   (L-T-P:   3-0-2)

Department / Center / School / Unit

Information Technology

Course Contents

Problem solving, search techniques, control strategies, game playing (minimax), reasoning, knowledge representation through predicate logic, rule based systems, semantics nets, frames, conceptual dependency. Planning. Handling uncertainty: probability theory, Bayesian Networks, Dempster-Shafer theory, Fuzzy logic, Learning through Neural nets - Back propagation, radial basis functions, Neural computational models - Hopfield Nets, Boltzman machines. PROLOG programming. Expert Systems, Soft computing, introduction to natural language processing.