Abstract

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.

Details

Title
Fast deliberation is related to unconditional behaviour in iterated Prisoners’ Dilemma experiments
Author
Montero-Porras, Eladio 1   VIAFID ORCID Logo  ; Lenaerts, Tom 2 ; Gallotti, Riccardo 3   VIAFID ORCID Logo  ; Grujic, Jelena 4 

 AI Lab, Vrije Universiteit Brussel, Brussels, Belgium (GRID:grid.8767.e) (ISNI:0000 0001 2290 8069) 
 AI Lab, Vrije Universiteit Brussel, Brussels, Belgium (GRID:grid.8767.e) (ISNI:0000 0001 2290 8069); MLG, Université Libre de Bruxelles, Brussels, Belgium (GRID:grid.4989.c) (ISNI:0000 0001 2348 0746); UC Berkeley, Center for Human-Compatible AI, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); Université Libre de Bruxelles-Vrije Universiteit Brussel, FARI Institute, Brussels, Belgium (GRID:grid.4989.c) (ISNI:0000 0001 2348 0746) 
 Fondazione Bruno Kessler, Trento, Italy (GRID:grid.11469.3b) (ISNI:0000 0000 9780 0901) 
 AI Lab, Vrije Universiteit Brussel, Brussels, Belgium (GRID:grid.8767.e) (ISNI:0000 0001 2290 8069); MLG, Université Libre de Bruxelles, Brussels, Belgium (GRID:grid.4989.c) (ISNI:0000 0001 2348 0746) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2740179203
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.