Social NeuroAI of World Modeling: Embodied Dynamics, Collective Intelligence and Relational Computation

World models usually describe an individual agent's environment, but biological intelligence also depends on interaction with other agents. This talk brings together dynamical systems, inter-brain neuroscience and multi-agent modelling to study that relational setting. Embodied neural agents illustrate metastable coordination and collective decisions. The proposed direction for AI treats others as coupled systems with their own latent models, allowing shared representations and intelligence to emerge through interaction.