Stochastic models for the optimal fusion of social and sensory information in transparent interactions (C01)

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Activities such as joint play, hunting or foraging involve the use of shared information (e.g., about actions of others), and require the representation and integration of social and sensory information to guide the agents’ actions. We will establish a formal theory and analysis framework for dyadic continuous perceptual report tasks employed in this CRC. We will construct models for the formation and optimal integration of representations for sensory and social information in a pair of mutually interacting agents, construct methods for the data-driven inference of inter-agent coupling and behavioural dynamics in the presence of temporal and inter-individual variability, and theoretically predict optimal reporting strategies to optimise expected reward for cooperative vs. competitive settings.