Lecture Notes || SNS Courseware

Subject Details

Dept : IT

Sem : 6

Regul : R2019

Faculty : Haripriya R

phone : NIL

E-mail : priya.r.mca@snsct.org

123

Page views

Files

Videos

R.Links

Lecture Notes

UNIT 1:

AI problems, Problem Characteristics

Agents – Structure of an agent

Problem formulation

Constraint satisfaction

Uninformed search strategies

UNIT 2:

First-order logic

Forward chaining–Backward chaining

Inferences in first-order logic

Propositional logic, Inferences

Propositional Vs. first-order inference

unification &lifts

UNIT 3:

Planning graphs

Partial- order planning

Planning and acting in the real world.

Planning with state

Space search

UNIT 4:

Bayesian networks, Inferences in Bayesian networks

Temporal models, Hidden Markov models

Probabilistic Reasoning

Semantic Networks

Temporal models, Hidden Markov models

UNIT 5:

Case Study: Security in AI , Home Security, Crime prevention Camera

Decision trees, Explanation based learning

Case Study: Security in AI , Home Security, Crime prevention Camera

Learning from observation, Inductive learning

Reinforcement Learning, Neural net learning &Genetic learning

Military Reconnaissance, Offshore oil & Gas threat detection

Reinforcement Learning, Neural net learning &Genetic learning

Statistical Learning methods

Case Study: Security in AI , Home Security, Crime prevention Camera

Statistical Learning methods

Lecture Notes

Announcements

Recent Files

Copyright © SNS College Of Engineering 2014 Developed bySNSCE