Aggregate - Distraction Collective

If an artificial intelligence had to learn to desire, what path would it take to fill the void that separates it from intimacy?

Aggregate is a collective process requiring a large number of players to take turns and undergo reinforcement learning (punishment/reward) as they make their way through the wasteland of machine learning and queer desire.

At the heart of a vast bramble patch littered with power pylons and abandoned structures, the AI carves—through its arduous passage—the network of aggregated lines of desire that may, on its next run, allow it to reach the object of its longing, held captive in a blind fortress.

It hurts itself, collapses, and begins again tirelessly, learning a little more with each attempt.

Art Direction, 3D Art, Vfx, Environment
Made with Unity

Jeu vidéo, résine imprimée en 3D, ordinateur, projection vidéo, haut-parleurs, dimension variable

DISTRACTION COLLECTIVE
Vincent Moulinet (Game design / Writing / 3D modeling)
Jonathan Coryn (Game design / Gameplay programming / 3D modeling)
Nino Filiu (Gameplay programming / 3D modeling / Animation)
Camille Petit (Art direction / Game art / VFX Art)
Victor Meas (Character design / 3D modeling)
Pierre Moulin (Alternative controler / 3D printing)
Alpha Rats (UI)

GUESTS
Igor Dubreucq (OST / SFX / 3D modeling)
Moshe Linke (3D modeling)

Aknowledgements : Théo Casciani, Cosmografik, Jules Durand