INF2D: 28: Dynamic Bayesian Networks
This folder presents an example Dynamic Bayesian Network (DBN) that makes some odd predictions, and a revised design of the DBN to fix that issue. The purpose is to show you when you might want to revise your model, making it more complex by introducing a new random variable. The folder consists of the following material:
- two videos of short lectures. They cover:
- Dynamic Bayesian Networks I
- Dynamic Bayesian Networks II
- Some required reading from Russell and Norvig
- A quiz that tests your understanding of the material presented here.
Please watch the videos or attend the in-person lecture, do the required reading, and attempt the quiz. If there is anything you don't understand, then please ask your question at the lecture or post it on piazza.
Lecture Slides
Required Reading
R&N Section 15.5 or NIE Chapter (15) "Probabilistic Reasoning over Time", Section 5.
NOTE: The abbreviation R&N refers to:
“Artificial Intelligence: A Modern Approach” Third Edition, Russell R & Norvig P, Prentice Hall, 2010 (R&N).
The abbreviation NIE stands for the following edition of the same book:
“Artificial Intelligence: A Modern Approach” Third Edition, Pearson New International Edition, Russell R & Norvig P, Pearson, 2014.
Quiz 28: Dynamic Bayesian Networks
These questions are designed to test your understanding of the above course content; doing this quiz does not contribute to your overall grade. Some questions require a text answer. You can ask for formative feedback on these from your tutor or on piazza. Other questions are multiple choice or they require a numeric answer: you will get immediate feedback for these. Please don't attempt this quiz until you have acquainted yourself with this lecture and the required reading.
You must be logged onto Learn to do this quiz.
Video Lectures Recorded by Prof Alex Lascarides
Lecture 28 Slides: Whole!
28a: Dynamic Bayesian Networks I
28a slides: 28a.pdf
28a video:
28b: Dynamic Bayesian Networks II
28b slides: 28b.pdf
28b video: