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ME-703 (B) Artificial Intelligence Techniques Notes

5 notes for Artificial Intelligence Techniques, 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 versus 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 · Breadth‑first search vs. depth‑first search · Hill‑climbing search technique · Best‑first search · $A^{*}$ algorithm
Unit 3 · Short notes Knowledge Representation and Probabilistic Reasoning Problems in knowledge representation · Knowledge representation using propositional logic · Knowledge representation using predicate logic · Comparison of propositional and predicate logic · Resolution, refutation, deduction, theorem proving, inferencing · Monotonic and non‑monotonic reasoning
Unit 4 · Short notes Game Playing Techniques Minimax procedure · $\alpha$‑$\beta$ pruning · Planning techniques · Block‑world problem in robotics · Introduction to natural language processing
Unit 5 · Short notes Introduction to Learning, ANN Learning techniques in AI · Introduction to artificial neural networks (ANN) · Common‑sense reasoning · Convolutional Neural Network ($CNN$) · Feedforward Neural Network ($FNN$) · Recurrent Neural Network ($RNN$)

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