UNIT I : INTELLIGENT AGENTS 

Introduction to AI – Agents and Environments – concept of rationality – nature of environments –
structure of agents. Problem solving agents – search algorithms – uninformed search strategies.

UNIT II : PROBLEM SOLVING 

Heuristic search strategies – heuristic functions. Local search and optimization problems – local
search in continuous space – search with non-deterministic actions – search in partially observable
environments – online search agents and unknown environments

UNIT III :  GAME PLAYING AND CSP 

Game theory – optimal decisions in games – alpha-beta search – monte-carlo tree search –
stochastic games – partially observable games. Constraint satisfaction problems – constraint
propagation – backtracking search for CSP – local search for CSP – structure of CSP.

UNIT IV :  LOGICAL REASONING 

Knowledge-based agents – propositional logic – propositional theorem proving – propositional
model checking – agents based on propositional logic. First-order logic – syntax and semantics –
knowledge representation and engineering – inferences in first-order logic – forward chaining –
backward chaining – resolution.

UNIT  V : PROBABILISTIC REASONING 

Acting under uncertainty – Bayesian inference – naïve Bayes models. Probabilistic reasoning –
Bayesian networks – exact inference in BN – approximate inference in BN – causal networks.