Principles Of Artificial Intelligence - 21AI54
Module - 1
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.
Module - 2
Problem‐solving: Problem‐solving agents, Example problems, Searching for Solutions Uninformed Search
Strategies: Breadth First search, Depth First Search, Iterative deepening depth first search;
Module - 3
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
Module - 4
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
Module - 5
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