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CE-803 (A) Artificial Intelligence Notes

5 notes for Artificial Intelligence, unit by unit.

Unit 1 · Short notes Introduction to Artificial Intelligence Main components and characteristics of AI (Feature Engineering, ANN, Deep Learning) · Applications of AI · Advantages and disadvantages of AI · Goals of AI · Comparison of programming a system with AI and without AI · Challenges in AI
Unit 2 · Short notes Various types of production systems and search techniques Types of production systems · Characteristics of production systems · Study and comparison of breadth‑first search and depth‑first search · Other search techniques: hill climbing, best‑first search · A* algorithm, AO* algorithms, and various control strategies
Unit 3 · Short notes Knowledge Representation and Probabilistic Reasoning Problems in representing knowledge · Knowledge representation using propositional and predicate logic · Comparison of propositional and predicate logic · Resolution, refutation, deduction, theorem proving, inferencing · Monotonic and non‑monotonic reasoning · Probabilistic reasoning
Unit 4 · Short notes Game playing techniques Minimax procedure · Alpha‑beta cut‑offs · Planning · Study of the block world problem in robotics · Introduction to natural language processing
Unit 5 · Short notes Introduction to learning, ANN Various techniques used in learning · Introduction to artificial neural networks · Common‑sense reasoning · Convolutional Neural Network (CNN) · Feedforward Neural Network (FNN) · Recurrent Neural Network (RNN)

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