Lecture Notes || SNS Courseware

UNIT 1:

AI- Problems , problem characteristics

introduction

Agent, structure of an agent

problem formulation

UNIT 2:

Inferences

propositional logic

first order logic

forward chaining

Backward chaining

unification and lifts

Resolution

UNIT 3:

planning state space search

forward state space search

planning graphs

Introduction to partial order planning

UNIT 4:

uncertainty and review of probability

Probabilistic Reasoning

semantic networks

Bayesian networks

Inferences in Bayesian networks

Temporal models

hidden markov model

UNIT 5:

learning from observation

Inductive learning

Decision trees

Explanation based learning

statistical learning method

Reinforcement learning

Neural net learning

Genetic learning

Case study : Home security

Lecture Notes