Abstract

A large body of work has offered compelling evidence of the influence of social context on individual decision-making, but the reasons why individuals tend to cooperate with others remain elusive. The prisoner’s dilemma constitutes a powerful, yet elementary, social game to study the drivers underlying cooperation. Here, we empirically examined a prisoner’s dilemma game where small groups of participants played with controlled, virtual players over a series of rounds. Toward investigating how individual decisions on cooperation are influenced by others, the virtual players were engineered so that they would have a higher cumulative score than some participants and a lower cumulative score than others. Our results corroborate upward social comparison theory, whereby only participants who had a lower cumulative score than cooperating virtual players displayed an increased tendency to cooperate. Overall, our experimental findings indicate that the players’ cumulative score plays a critical role within the prisoner’s dilemma game, thereby offering a mean for increasing cooperation. For practitioners, this finding sheds light on how players’ cumulative score alone modulates decision-making processes toward choices that are suboptimal for the individual, but optimal for the entire group.

Highlights

  • Why people cooperate is a long-standing question, which bears important ramifications in biology, political sciences, and economics [1], [2]

  • In the 1V2P experiment, we registered a difference between conditions

  • By classifying participants as winners or losers depending on their final cumulative score within the pair, we discovered that losers defected less in condition WC than in condition WD (Fig. 4a, Wilcoxon test, W = 665, p = 0.037)

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Summary

Introduction

Why people cooperate is a long-standing question, which bears important ramifications in biology, political sciences, and economics [1], [2]. Among the most popular games is the prisoner’s dilemma, a non zero-sum game where two players simultaneously choose to either cooperate or defect and receive appropriate scores (or payoffs) according to their choices [6]. In both one-time and iterated prisoner’s dilemmas, the Nash equilibrium [7]–[9] that maximizes individual payoffs corresponds to the case where both players defect, even though the group payoff is maximized when all players cooperate. This dichotomy between individual and group benefits is found in many versions of the iterated prisoner’s dilemma, where

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