Neural implementation of computational mechanisms underlying the continuous trade-off between cooperation and competition

M. A. Pisauro (), E. F. Fouragnan, D. H. Arabadzhiyska, M. A. J. Apps and M. G. Philiastides
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M. A. Pisauro: University of Oxford
E. F. Fouragnan: University of Oxford
D. H. Arabadzhiyska: University of Glasgow
M. A. J. Apps: University of Oxford
M. G. Philiastides: University of Glasgow

Nature Communications, 2022, vol. 13, issue 1, 1-18

Abstract: Abstract Social interactions evolve continuously. Sometimes we cooperate, sometimes we compete, while at other times we strategically position ourselves somewhere in between to account for the ever-changing social contexts around us. Research on social interactions often focuses on a binary dichotomy between competition and cooperation, ignoring people’s evolving shifts along a continuum. Here, we develop an economic game – the Space Dilemma – where two players change their degree of cooperativeness over time in cooperative and competitive contexts. Using computational modelling we show how social contexts bias choices and characterise how inferences about others’ intentions modulate cooperativeness. Consistent with the modelling predictions, brain regions previously linked to social cognition, including the temporo-parietal junction, dorso-medial prefrontal cortex and the anterior cingulate gyrus, encode social prediction errors and context-dependent signals, correlating with shifts along a cooperation-competition continuum. These results provide a comprehensive account of the computational and neural mechanisms underlying the continuous trade-off between cooperation and competition.

Date: 2022
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DOI: 10.1038/s41467-022-34509-w

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