Redistribution of resources within a group as a method to reduce wealth inequality is a current area of debate. The evolutionary path to or away from wealth sharing is also a subject of active research. In order to investigate effects and evolution of wealth sharing, societies are simulated using a minimal model of a complex adapting system. These simulations demonstrate, for this artificial foraging society, that local sharing of resources reduces the economy's total wealth and increases wealth inequality. Evolutionary pressures strongly select against local sharing, whether globally or within a individual's clan, and select for asocial behaviors. By holding constant the gene for sharing resources among neighbors, from rich to poor, either with everyone or only within members of the same clan, social behavior is selected but total wealth and mean age are substantially reduced relative to non-sharing societies. The Gini coefficient is shown to be ineffective in measuring these changes in total wealth and wealth distributions, and, therefore, individual well-being. Only with sociality do strategies emerge that allow sharing clans to exclude or coexist with non-sharing clans. These strategies are based on spatial effects, emphasizing the importance of modeling movement mediated community assembly and coexistence as well as sociality.

翻译：资源在群体内部重新分配作为减少财富不平等的一种方法是当前争议的焦点。财富共享的演化路径（走向或偏离共享）也是活跃的研究课题。为探究财富共享的影响及其演化过程，本研究采用复杂适应系统的最小模型对社会进行模拟。这些模拟表明，对于这一人工觅食社会而言，局部资源共享降低了经济总财富并加剧了财富不平等。演化压力强烈排斥局部共享（无论是全局范围内还是个体所属氏族内部），并倾向于选择非社会性行为。通过固定相邻个体间（无论面向全体成员还是仅限同族成员）从富到贫的资源共享基因，社会性行为被选中，但与非共享社会相比，总财富和平均年龄显著降低。研究表明，基尼系数在衡量总财富与财富分布变化（进而反映个体福祉）方面存在失效。唯有在社会性存在的情况下，才能演化出允许共享氏族排斥或与非共享氏族共存的策略。这些策略基于空间效应，凸显了模拟运动介导的群落构建、共存以及社会性行为建模的重要性。