Fast deliberation is related to unconditional behaviour in iterated Prisoners’ Dilemma experiments

Eladio Montero-Porras, Tom Lenaerts, Riccardo Gallotti, Jelena Grujic

Onderzoeksoutput: Articlepeer review


People have different preferences for what they allocate for themselves and what they allocate to others in social dilemmas. These differences result from contextual reasons, intrinsic values, and social expectations. What is still an area of debate is whether these differences can be estimated from differences in each individual’s deliberation process. In this work, we analyse the participants’ reaction times in three different experiments of the Iterated Prisoner’s Dilemma with the Drift Diffusion Model, which links response times to the perceived difficulty of the decision task, the rate of accumulation of information (deliberation), and the intuitive attitudes towards the choices. The correlation between these results and the attitude of the participants towards the allocation of resources is then determined. We observe that individuals who allocated resources equally are correlated with more deliberation than highly cooperative or highly defective participants, who accumulate evidence more quickly to reach a decision. Also, the evidence collection is faster in fixed neighbour settings than in shuffled ones. Consequently, fast decisions do not distinguish cooperators from defectors in these experiments, but appear to separate those that are more reactive to the behaviour of others from those that act categorically.

Originele taal-2English
Pagina's (van-tot)20287
TijdschriftScientific Reports
Nummer van het tijdschrift1
StatusPublished - 24 nov 2022

Bibliografische nota

Funding Information:
E.M. and T.L benefit from the support by the Flemish Government through the AI Research Program and by TAILOR, a project funded by the EU Horizon 2020 research and innovation program under GA No 952215. J.G. is funded by FWO—Research Foundation Flanders. T.L. is furthermore supported by the F.N.R.S. projects with grant number 31257234 and 40007793, the F.W.O. project with grant no. G.0391.13N, and the Service Public de Wallonie Recherche under grant n° 2010235-ARIAC by R.G is partly supported by the project AI@TN funded by the Autonomous Province of Trento.

Publisher Copyright:
© 2022, The Author(s).

Copyright 2022 Elsevier B.V., All rights reserved.


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