Artificial Intelligence

Definition, What is A.I? Foundation of A.I., History, Intelligent Agents, Agent architecture, A. I. Application (E Commerce & Medicine), A. I. Representation, Properties of internal representation, Future of A.I., Production System, Issue in design of search programsLogic ProgrammingIntroduction, Logic, Logic Programming, Forward and Backward resoning, Forward and Backward chaining rules.Heuristic Search TechniquesHeuristic search , Hill Climbing, Best first search, mean and end analysis, constraint Satisfaction, A* and AO* Algorithm.Game PlayingMinimax search procedure, Alpha-beta cutoffs, Waiting for quiescence, Secondary searcKnowledge RepresentationBasic of knowledge representation, knowledge representation paradigms, Propositional logic, Inference Rules in Propositional logic, Knowledge representation using Predicate logic : Predicate calculus, Predicate and arguments, ISA hierarchy, Frame notation, Resolution, Natural deduction.Knowledge Representation using Non Montionic LogicTMS ( Truth Maintenance System ), Statistical and probabilistic reasoning Fuzzy- Logic ,Structure knowledge representation, Semantic-net, Frames, Conceptual dependency, Script.LearningWhat is Learning? Types of Learning (Rote, Direct instruction analogy, Induction, Deduction)PlanningBlock world, Strips, Implementation using goal stack, Non linear planning with goal stacks, Hierarichial planning, least commitment strategy.Advance AI TopicsNatural Language ProcessingIntroduction, Steps in NLP, Syntactic Processing, ATN, RTN, Semantic analysis, Discourse & Pragmatic processing.PereceptionPerception , Action, Robot Architecture.Neural NetworksIntroduction to neural networks and perception-qualitative analysis, Neural net architecture and applications.Expert systemUtilization and functionality, Architecture of expert system, Knowledge representation, Two case studies on expert systems.