This class will propose an in-depth presentation of the main approaches used in current video games to handle decision making of autonomous, and possibly, collaborating agents . The course will cover the “classical” algorithmic-based AI approaches with a general focus on interactive and real-time constraints , ranging from decision and behavior tree, rules based methods and inference system, as well as hierarchical system for distributed communication and cooperative behaviors. The course will take a strong focus on practical programming of these different approaches in the video game context (such as with StarCraft API), and will end in a contest of the implemented cooperative multi-units AI.

 

Prerequisits:
- Basic Knowledge of computer science and programming
- One programming language: preferably C++, possible with JAVA or Python or C#(CLI)


Lecturers:

  • Axel Buendia, Professeur CNAM (ENJMIN) and CEO SpirOps
  • David Bilemdjian, CTO Pixel Wizards and part-time lecturer at Isart Digital, Itescia, ESIEE


Maximum number of students: 24 students max for the first year.
Proposed period: Period 2 - Wednesday morning
Targeted PA - IVA, and possibly Algorithmics and Efficiency.