Institutions and investors are constantly faced with the challenge of appropriately distributing endowments. No budget is limitless and optimising overall spending without sacrificing positive outcomes has been approached and resolved using several heuristics. To date, prior works have failed to consider how to encourage fairness in a population where social diversity is ubiquitous, and in which investors can only partially observe the population. Herein, by incorporating social diversity in the Ultimatum game through heterogeneous graphs, we investigate the effects of several interference mechanisms which assume incomplete information and flexible standards of fairness. We quantify the role of diversity and show how it reduces the need for information gathering, allowing us to relax a strict, costly interference process. Furthermore, we find that the influence of certain individuals, expressed by different network centrality measures, can be exploited to further reduce spending if minimal fairness requirements are lowered. Our results indicate that diversity changes and opens up novel mechanisms available to institutions wishing to promote fairness. Overall, our analysis provides novel insights to guide institutional policies in socially diverse complex systems.
翻译:各机构和投资者不断面临适当分配财富的挑战。没有任何预算是无限的,在不牺牲积极结果的情况下,就能优化总体支出。迄今为止,以前的工作没有考虑如何在社会多样性无处不在、投资者只能部分观察人口的人口中鼓励公平性。在这里,我们通过不同图表将社会多样性纳入最后通牒游戏,调查一些包含不完整信息和灵活公平标准的干预机制的影响。我们量化多样性的作用,并表明它如何减少信息收集的需要,使我们能够放松一个严格、昂贵的干预程序。此外,我们发现,如果降低最低限度的公平要求,某些个人通过不同的网络中心措施表达的影响力可以用来进一步减少支出。我们的结果表明,多样性的变化,并为希望促进公平的机构开辟了新的机制。总体而言,我们的分析为指导社会多样性复杂系统中的体制政策提供了新的洞察力。