There are 8 sessions of 3 hours:
- Introduciton and concept of agent
- From agents to multi-agent systems
- Reactive agents
- Cognitive agents: the BDI paradigm
- Other Cognitive agents and hybrid agents
- Advanced concepts 1
- Advanced concepts 2
- Project presentation
Each session consists in 1h of lecture and 2 hours of practice, except session 6. There is a homework for each of the sessions 1-5.
A one-hour exam will be held at the beginning of session 6, about the content of all first 5 sessions.
From session 6 to session 8, the practice will be dedicated to the project. At session 8, each tam will present his
If the homework code of your homework or project does not compile, you
won't get any point.
The homework are evaluated both on the code and on the theoretical part. The grade of the project will take into
account the code itself, the approach and the presentation.
The grade of the project consists of the following thress elements:
- Project: 40%
- Exam: 30%
- Homework: 30%
Please make sure you have access to the data-ensta gitlab
. If you are planning to use your own computer,
please get a recent python distribution (≥3.6) and all the tools you may need (IDE etc.) to code. If you don't know
what to do, I'd strongly recommend installing Anaconda
If you have any question regarding the course you can contact me
. Please indicate [IA310]
The course PDF will soon be available
For your project, you can choose any topic related to multi-agent systems. The code must be easily readable, and must
be in one of the languages I know:
Here are some examples of subjects:
- Model of the spreading of an epidemic in a city through multi-agent system
- An automated negotiation agent
- Decentralized Multi-Robot Task Allocation