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Subject Syllabus

AD-304 - Artificial Intelligence

AIDS · Semester 3

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Fundamental of Artificial Intelligence, history, motivation and need of AIProduction systems, Characteristics of production systemsGoals and contribution of AI to modern technologySearch spaceDifferent search techniques: hill Climbing, Best first SearchHeuristic search algorithmA* and AO* search techniques etc.
Problems in representing knowledgeKnowledge representation using propositional and predicate logicComparison of propositional and predicate logicResolution, refutation, deduction, theorem proving, inferencingMonotonic and non-monotonic reasoning
Probabilistic reasoningBaye's theoremSemantic networks, scripts, schemas, framesConceptual dependencyForward and backward reasoning
Game playing techniques like minimax procedure, alpha-beta cut-offs etc.PlanningStudy of the block world problem in roboticsIntroduction to understanding, natural language processing (NLP)Components of NLPApplication of NLP to design expert systems
Expert systems (ES) and its CharacteristicsRequirements of ESComponents and capability of expert systemsInference Engine Forward & backward ChainingExpert Systems LimitationExpert System Development Environment, technologyBenefits of Expert Systems