Tutorial: Decision Networks

Tutorial: Decision Networks

Administrative information

Title Decision networks
Duration 60
Module A
Lesson Type Tutorial
Focus Technical - Foundations of AI
Topic Decision networks

 

Keywords

Naive Bayes-net,Bayes-net,Decision network,optimal decision,value of information,

 

Learning Goals

  • Student can design an interventional experiment for A/B testing and an imagery evaluation of A/B testing
  • Student can construct causal diagrams and general decision nets
  • Student can test fairness using a causal model

 

Expected Preparation

Learning Events to be Completed Before

Obligatory for Students

  • Artificial Intelligence: A Modern Approach, 4th Global ed. by Stuart Russell and Peter Norvig, Pearson (AIMA4e):ch16-17
  • concepts of probability
  • axioms of probability theory
  • concept of independence
  • Bayes' rule
  • Bayesian model averaging
  • universal AI
  • multivariate joint probability distributions
  • chain rule

Optional for Students

  • AIMA4e:ch16-17

References and background for students:

  • AIMA4e:ch16-17

Recommended for Teachers

  • AIMA4e:ch16-17
  • Charniak, E., 1991. Bayesian networks without tears. AI magazine, 12(4), pp.50-50.
  • Pearl, J., 2019. The seven tools of causal inference, with reflections on machine learning. Communications of the ACM, 62(3), pp.54-60.

Lesson Materials

 

The materials of this learning event are available under CC BY-NC-SA 4.0.

 

Instructions for Teachers

n parallel with the lecture build a loan evaluation decision net model and investigate its fairness.

Outline/time schedule

 
Duration Description
15 Explain a causal diagram
15 Set evidences and discuss optimal action.
15 Identify a variable E' with maximal value of information.
15 Draw a random value from E' and select the optimal action.

 

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

 

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities

HCAIM Consortium

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Auteur
HCAIM Consortium
Laatst gewijzigd
2024-05-15 11:09:05
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Gebruikte Wikiwijs Arrangementen

HCAIM Consortium. (z.d.).

Acknowledgement

https://maken.wikiwijs.nl/198386/Acknowledgement

HCAIM Consortium. (z.d.).

Lecture: Duty Ethics

https://maken.wikiwijs.nl/198966/Lecture__Duty_Ethics

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