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    Computing joint action costs: co-actors minimize the aggregate individual costs in an action sequence

    Török, G. and Stanciu, O. and Sebanz, N. and Csibra, Gergely (2021) Computing joint action costs: co-actors minimize the aggregate individual costs in an action sequence. Open Mind 5 , pp. 100-112. ISSN 2470-2986.

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    Abstract

    Successful performance in cooperative activities relies on efficient task distribution between co-actors. Previous research found that people often forgo individual efficiency in favor of co-efficiency (i.e., joint-cost minimization) when planning a joint action. The present study investigated the cost computations underlying co-efficient decisions. We report a series of experiments that tested the hypothesis that people compute the joint costs of a cooperative action sequence by summing the individual action costs of their co-actor and themselves. We independently manipulated the parameters quantifying individual and joint action costs and tested their effects on decision-making by fitting and comparing Bayesian logistic regression models. Our hypothesis was confirmed: people weighed their own and their partner’s costs similarly to estimate the joint action costs as the sum of the two individual parameters. Participants minimized the aggregate cost to ensure co-efficiency. The results provide empirical support for behavioral economics and computational approaches that formalize cooperation as joint utility maximization based on a weighted sum of individual action costs.

    Metadata

    Item Type: Article
    School: School of Science > Psychological Sciences
    Research Centres and Institutes: Architecture, Space and Society, Centre for
    Depositing User: Gergo Csibra
    Date Deposited: 12 Oct 2021 14:59
    Last Modified: 13 Oct 2021 18:32
    URI: https://eprints.bbk.ac.uk/id/eprint/45733

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