Title: |
Modelisation of users’ adaptive decision behaviour |
Duration: |
One Semester |
Responsible TA: |
Nicolas Jones |
Goals: |
The goal of this project is to try and model user’s adaptive decision behaviour. |
Keywords: |
statistical analysis, user modelling |
Abstract: |
Many methods have been used to try and model user’s adaptive decision behaviors. Unfortunately, many of them suffer from problems. Artificial Intelligence has proposed the concept of DBN: dynamic bayesian networks which can potentially be used to do the job. The goal of the project will be to define a framework, and then perform an implementation. |
Project Results: |
- implementation of DBN for modeling user’s adaptive decision behaviors
|
Required Skills |
- algorithmic abstraction qualities
- HTML/PHP/Mysql (or other programming language – will be determined when chosing the framework)
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