UNIT I
- Introduction to AI, History of Artificial Intelligence,
- Applications of AI in the real world(Gaming, Computer Vision, Expert Systems, NLP, Robotics & others.
- AI techniques,
- Problem Solving: Production Systems, State Space Search,
- Depth First Search, Breadth First Search,
- Heuristic Search, Hill Climbing,
- Best First Search, best-first search, A*, Problem Reduction, AO*,
- Constraint Satisfaction, Means-End Analysis.
UNIT II
- Knowledge representation,
- Knowledge representation using Predicate logic,
- Propositional logic, Inferences,
- First-Order Logic, Inferences,
- Unification, Resolution, Natural Deduction,
- Procedural versus declarative knowledge,
- Logic programming, forward versus backward reasoning.
UNIT III
- Reasoning,
- Introduction to Uncertainty,
- Bayesian Theory, Bayesian Network,
- Dempster-Shafer Theory.
- Overview of Planning and its Components.
- Overview of Learning and basic Techniques.
- Introduction of Fuzzy Reasoning and Neural Networks.
UNIT IV
- Game Playing and Current Trends in AI,
- MinMax search procedure,
- Alpha-Beta Cutoffs,
- Game Development using AI,
- Applications of AI,
- Emerging Trends in AI Research in various domains.
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