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:
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | % | Project submission: | % | ||
| Individual oral exam: | % | Group presentation: | % | ||
| Individual presentation: | % | Group practical exercise: | % | ||
| Individual practical exercise: | % | Group report: | % | ||
| Individual report: | % | ||||
| Other(s): % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| Lectures | (6h) |
| Supervised work | (6h) |
| Labs | (18h) |