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PA - C2B - INF584A : Real-time AI in video games: decisive & collaborative actions

Domaine > Informatique.

Descriptif

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.
Proposed Syllabus:
Lecture topics :
I) Decision Tree, Finite State Machine, and Hierarchical-FSM
II) Behavior Tree, Rule based, Drive Oriented (order 1 fuzzy logic and more advanced
inference system)
III) Blackboard systems and Distributed AI
IV) Future approaches for video games NPC: planning, dialogs, reasoning, emotions, learning
Labs topics :
I) Implementation of HFSM or Behavior Tree
II) Cooperation structure and Blackboard
III) AI building methodology in video game context
IV) Contest on 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.

Format des notes

Numérique sur 20

Littérale/grade réduit

Pour les étudiants du diplôme MScT-Artificial Intelligence and Advanced Visual Computing

Le rattrapage est autorisé (Max entre les deux notes)
    L'UE est acquise si note finale transposée >= C
    • Crédits ECTS acquis : 4 ECTS

    La note obtenue rentre dans le calcul de votre GPA.

    Pour les étudiants du diplôme M2 Énergie

    Le rattrapage est autorisé (Note de rattrapage conservée)
      L'UE est acquise si note finale transposée >=
      • Crédits ECTS acquis : 5 ECTS

      La note obtenue rentre dans le calcul de votre GPA.

      Pour les étudiants du diplôme Echanges PEI

      Pour les étudiants du diplôme M2 IGD - Interaction, Graphic and Design

      Pour les étudiants du diplôme M1 IGD - Interaction, Graphic and Design

      Pour les étudiants du diplôme Diplôme d'ingénieur de l'Ecole polytechnique

      Le rattrapage est autorisé (Note de rattrapage conservée)
        L'UE est acquise si note finale transposée >= C
        • Crédits ECTS acquis : 5 ECTS

        La note obtenue rentre dans le calcul de votre GPA.

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