Domingos Elias Fernández, Grujić Jelena, Burguillo Juan C, Kirchsteiger Georg, Santos Francisco C, Lenaerts Tom
AI lab, Computer Science Department, Vrije Universiteit Brussel, Pleinlaan 9, 3rd Floor, 1050 Brussels, Belgium.
MLG, Département D'Informatique, Université Libre de Bruxelles, Boulevard Du Triomphe, CP 212, 1050 Brussels, Belgium.
iScience. 2020 Oct 31;23(12):101752. doi: 10.1016/j.isci.2020.101752. eCollection 2020 Dec 18.
Social dilemmas are often shaped by actions involving uncertain returns only achievable in the future, such as climate action or voluntary vaccination. In this context, uncertainty may produce non-trivial effects. Here, we assess experimentally - through a collective risk dilemma - the effect of timing uncertainty, i.e. how uncertainty about when a target needs to be reached affects the participants' behaviors. We show that timing uncertainty prompts not only early generosity but also polarized outcomes, where participants' total contributions are distributed unevenly. Furthermore, analyzing participants' behavior under timing uncertainty reveals an increase in reciprocal strategies. A data-driven game-theoretical model captures the self-organizing dynamics underpinning these behavioral patterns. Timing uncertainty thus casts a shadow on the future that leads participants to respond early, whereas reciprocal strategies appear to be important for group success. Yet, the same uncertainty also leads to inequity and polarization, requiring the inclusion of new incentives handling these societal issues.
社会困境往往由涉及未来才能实现的不确定回报的行动所塑造,比如气候行动或自愿接种疫苗。在这种背景下,不确定性可能产生重要影响。在此,我们通过集体风险困境实验性地评估时间不确定性的影响,即距离目标达成时间的不确定性如何影响参与者的行为。我们发现,时间不确定性不仅会引发早期的慷慨行为,还会导致两极分化的结果,即参与者的总贡献分布不均。此外,分析时间不确定性下参与者的行为发现互惠策略有所增加。一个数据驱动的博弈论模型捕捉到了支撑这些行为模式的自组织动态。因此,时间不确定性给未来蒙上了一层阴影,促使参与者尽早做出反应,而互惠策略似乎对群体成功至关重要。然而,同样的不确定性也会导致不公平和两极分化,这就需要引入新的激励措施来处理这些社会问题。