Introduction to AI - Production systems, Control strategies, Search strategies. Problem characteristics, Future of Artificial Intelligence – Characteristics of Intelligent Agents–Typical Intelligent Agents, Production system characteristics -Specialized productions system- Matching, Indexing and Heuristic functions -Hill Climbing

Basic of fuzzy logic theory - crisp and fuzzy sets, Basic set operation like union - interaction - complement - T-norm - T-conorm - composition of fuzzy relations - fuzzy if-then rules - fuzzy reasoning - Neuro-Fuzzy Modeling: Adaptive Neuro-Fuzzy Inference System (ANFIS) - ANFIS architecture - Hybrid Learning Algorithm.

Back Propagation Network - generalized delta rule - Radial Basis Function Network - interpolation and approximation RBFNS - comparison between RBFN and BPN - Support Vector Machines: Optimal hyperplane for linearly separable patterns - optimal hyperplane for non-linearly separable patterns - Inverse Modeling.

Introduction to localization – noise and aliasing – localization-based navigation – belief representation – map representation – probabilistic map-based localization – autonomous map building.

ROBOT Expert systems – Information Retrieval- Information Extraction – Natural Language Processing – Machine Translation – Speech Recognition – Robot – Hardware – Perception – Planning – Moving, Architecture ofRobot expert systems, Roles of Robot expert system