Jiang Zheng, Yuan Luzhan, Wang Wei, Zhang Gaowei, Wang Yi
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.
PLoS One. 2025 Jul 11;20(7):e0327131. doi: 10.1371/journal.pone.0327131. eCollection 2025.
Social dilemmas often arise when the need for cooperation conflicts with individuals' incentives to act in self-interest, potentially undermining collective well-being. Prior literature shows that some mechanisms, e.g., commitment, could give rise to cooperation. However, participants' diverse propensities to cooperate may limit such mechanisms' effectiveness. Thus, we bring individual differences in their propensities to cooperate into the reasoning of long-term social dynamics of cooperation through an agent-based modeling (ABM) approach. Our results suggest that commitment may still guarantee cooperation when individuals have different propensities to cooperate but have weaker effects, and the setups of commitment are also important. Our study highlights the importance of integrating individual preferences in analyzing collective dynamics of a population consisting of individuals of heterogeneous characteristics, thus offering implications to facilitate cooperation in real-world online social production. The model and its implementation also form the foundation for supporting decision-makers in forming decisions of facilitating cooperation via commitment mechanisms.
当合作的需求与个人追求自身利益的动机发生冲突时,社会困境常常出现,这可能会损害集体福祉。先前的文献表明,一些机制,例如承诺,能够促进合作。然而,参与者不同的合作倾向可能会限制这些机制的有效性。因此,我们通过基于主体的建模(ABM)方法,将个体在合作倾向上的差异纳入到合作的长期社会动态推理中。我们的结果表明,当个体具有不同的合作倾向时,承诺仍可能保证合作,但效果较弱,而且承诺的设置也很重要。我们的研究强调了在分析由具有异质特征的个体组成的群体的集体动态时整合个体偏好的重要性,从而为促进现实世界在线社会生产中的合作提供了启示。该模型及其实现也为支持决策者通过承诺机制做出促进合作的决策奠定了基础。