Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, People's Republic of China.
Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
J R Soc Interface. 2022 Mar;19(188):20220082. doi: 10.1098/rsif.2022.0082. Epub 2022 Mar 30.
'Personal responsibility', one of the basic principles of social governance, requires one to be accountable for what one does. However, personal responsibility is far from the only norm ruling human interactions, especially in social and economic activities. In many collective communities such as among enterprise colleagues and family members, one's personal interests are often bound to others'-once one member breaks the rule, a group of people have to bear the punishment or sanction. Such a mechanism is termed 'joint liability'. Although many real-world cases have evidenced that joint liability can help to maintain collective collaboration, a deep and systematic theoretical analysis on how and when it promotes cooperation remains lacking. Here, we use evolutionary game theory to model an interacting system with joint liability, where one's losing credit could deteriorate the reputation of the whole group. We provide the analytical condition to predict when cooperation evolves and analytically prove that in the presence of punishment, being jointly liable greatly promotes cooperation. Our work stresses that joint liability is of great significance in promoting current economic prosperity.
“个人责任”是社会治理的基本原则之一,要求人们对自己的行为负责。然而,个人责任远非规范人类互动的唯一准则,尤其是在社会和经济活动中。在许多集体社区,如企业同事和家庭成员之间,一个人的个人利益往往与他人的利益相关联——一旦有成员违反规则,一群人就必须承担惩罚或制裁。这种机制被称为“连带责任”。尽管许多现实案例表明连带责任有助于维持集体合作,但对于它如何以及何时促进合作的深入系统的理论分析仍然缺乏。在这里,我们使用进化博弈论来构建一个具有连带责任的相互作用系统,其中一个人的信用丧失会恶化整个群体的声誉。我们提供了预测合作何时进化的分析条件,并从理论上证明了在存在惩罚的情况下,连带责任极大地促进了合作。我们的工作强调了连带责任在促进当前经济繁荣方面的重要意义。