Decentralized Collective World Model for Emergent Communication

Abstract

We propose a collective world model in which multiple agents share a common generative latent space through emergent communication. Decentralized inference on this shared space yields stable cooperative behavior without a central controller, suggesting a path from world models to compositional symbols.