Abstract

What is intuitive: pro-social or anti-social behaviour? To answer this fundamental question, recent studies analyse decision times in game theory experiments under the assumption that intuitive decisions are fast and that deliberation is slow. These analyses keep track of the average time taken to make decisions under different conditions. Lacking any knowledge of the underlying dynamics, such simplistic approach might however lead to erroneous interpretations. Here we model the cognitive basis of strategic cooperative decision making using the Drift Diffusion Model to discern between deliberation and intuition and describe the evolution of the decision making in iterated Prisoner’s Dilemma experiments. We find that, although initially people’s intuitive decision is to cooperate, rational deliberation quickly becomes dominant over an initial intuitive bias towards cooperation, which is fostered by positive interactions as much as frustrated by a negative one. However, this initial pro-social tendency is resilient, as after a pause it resets to the same initial value. These results illustrate the new insight that can be achieved thanks to a quantitative modelling of human behavior.

Details

Title
A quantitative description of the transition between intuitive altruism and rational deliberation in iterated Prisoner’s Dilemma experiments
Author
Gallotti, Riccardo 1   VIAFID ORCID Logo  ; Grujić, Jelena 2 

 Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain; Center for Complex Systems & Brain Sciences (CEMSC3), Universidad Nacional de San Martin, Buenos Aires, Argentina; Fondazione Bruno Kessler, Trento, Italy 
 AI lab, Computer Science Department, Vrije Universiteit Brussel, Brussels, Belgium; MLG, Département d’Informatique, Université Libre de Bruxelles, Brussels, Belgium 
Pages
1-11
Publication year
2019
Publication date
Nov 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2315963620
Copyright
© 2019. 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.