Many threats society faces are self-engineered, with modifiable behaviors linked to reducing their potential harm for future generations. These challenging issues do not have transparent solutions, because an experimental analysis of behavior has not been functionally applied to larger group units. Mainstream society is a most complex form of group behavior, and single-subject research hides interactivity, but there is a middle ground. Relevant comparisons could be more easily made using smaller experimental communities that thrive by integrating into their ecosystem. This article describes how two behaviorally-inspired experimental communities function as total performance systems and provides suggestions for future analyses.

中文翻译：

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使用行为系统分析向实验社区学习

社会面临的许多威胁都是自我设计的，可修改的行为与减少对子孙后代的潜在危害有关。这些具有挑战性的问题没有透明的解决方案，因为行为的实验分析尚未在功能上应用于更大的群体单位。主流社会是一种最复杂的群体行为形式，单一学科的研究隐藏了交互性，但有一个中间立场。使用较小的实验社区可以更容易地进行相关比较，这些社区通过融入其生态系统而蓬勃发展。本文描述了两个受行为启发的实验社区如何作为整体绩效系统发挥作用，并为未来的分析提供建议。