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Modeling social influence as a reinforcer reveals varying individual learning strategies and the group's structure

Created on 09 Nov 2025

Authors

Lenarczyk, M., Jura, B., Harda, Z., Szumiec, Łukasz, Ziemianska, M., Parkitna, J. R., Wojcik, D. K.

Abstract

In a social context, knowledge can be gained through observation and imitation, but in a numerous group, social influence can also be contradictory and confusing. The mechanisms of social learning in groups have not been fully characterized, partly due to the lack of adequate mathematical description. Using the known reinforcing property of social influence we introduce a reinforcement learning model which can account for social effects at the group and individual level. We use it to reveal the learning strategies in a reversal learning task applied to a cohort of mice housed in an Intellicage, and to determine the structure of their group as defined by influence relations between pairs of individuals. Animals make an efficient use of social influence when the goal of the group agrees with their own, but switch to an individual learning scheme when goals are misaligned. They also exhibit different decision rules depending on their own motivational state, and a selectivity in assimilating social information depending on the state of their conspecifics.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 09 Nov 2025.

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