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Communicating Plans, Not Percepts: Scalable Multi-Agent Coordination with Embodied World Models

arXiv — cs.LG•Wednesday, November 5, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

Communicating Plans, Not Percepts: Scalable Multi-Agent Coordination with Embodied World Models

A recent study investigates communication strategies within multi-agent systems, emphasizing decision-making under uncertainty. The research compares engineered communication protocols with those learned through data-driven methods, aiming to improve task allocation among agents. Central to the study is the use of embodied world models, which represent agents' understanding of their environment in a way that supports coordination. Findings suggest that these embodied models enhance multi-agent coordination by enabling more effective communication of plans rather than raw perceptual data. This approach demonstrates potential for scalable coordination in complex tasks, highlighting innovative pathways for future multi-agent system design. The study’s methodology and application contexts further reinforce the significance of embodied world models in advancing collaborative decision-making processes.

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