This teaching unit counts for 3 credits (/30 total for a semester), and is divided in two parts:
The first part deals with a general overview of the numerical simulation domain and a focus on the multi-agent based simulation domain. The issues and challenges in modeling, running and evaluating simulations are discussed and different solutions are studied. Use cases will be developed using multi-agent simulation platforms for simulating digital twins in the context of Industry 4.0, Health or Intelligent transportation domains.
The second part deals with the presentation of advanced knowledge-based reasoning techniques that can be used to make intelligent agents able to evolve in a complex and dynamic world:
| A la fin de l’unité pédagogique, l’élève sera capable de : | Niveau de taxonomie | Priorité |
|---|
| Part de l'évaluation individuelle | Part de l'évaluation collective | ||||
|---|---|---|---|---|---|
| Examen sur table : | % | Livrable(s) de projet : | % | ||
| Examen oral individuel : | % | Exposé collectif : | % | ||
| Exposé individuel : | % | Exercice pratique collectif : | % | ||
| Exercice pratique individuel : | % | Rapport collectif : | % | ||
| Rapport individuel : | % | ||||
| Autre(s) : % | |||||
| Type d’activité pédagogique : | Contenu, séquencement et organisation |
|---|---|
| Lectures | (6h) |
| Supervised work | (6h) |
| Labs | (18h) |