Introduction: What is AI? Foundations and History of AI.

Intelligent Agents: Agents and environment, Concept of Rationality, The nature of environment, The structure of agents.

Problem‐solving: Problem‐solving agents, Example problems, Searching for Solutions.

Uninformed Search Strategies: Breadth First search, Depth First Search, Iterative deepening depth first search.

Informed Search Strategies: Heuristic functions, Greedy best first search, A*search. Heuristic Functions.

Logical Agents: Knowledge–based agents, The Wumpus world, Logic, Propositional logic, Reasoning patterns in Propositional Logic.

First Order Logic: Representation Revisited, Syntax and Semantics of First Order logic, Using First Order logic.

Inference in First Order Logic: Propositional Versus First Order Inference, Unification, Forward Chaining, Backward Chaining, Resolution.

Uncertain Knowledge and Reasoning: Quantifying Uncertainty: Acting under Uncertainty, Basic Probability Notation, Inference using Full Joint Distributions, Independence, Baye’s Rule and its use Wumpus World Revisited.

Expert Systems: Representing and using domain knowledge, ES shells. Explanation, knowledge acquisition.