影响力塑造与影响力塑造：一个基于信任的计算红队测试群体智能模型
Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model
摘要：
社会技术系统是一个复杂的系统，不同参与者之间的非线性互动可能会模糊因果关系。缺乏机制来帮助我们理解如何在系统中创建更改，这使得管理这些系统变得困难。影响和塑造是社会运营商对社会技术系统采取行动，以设计变革。然而，这两个运营商通常是在一个特设的方式进行讨论，没有适当的指导模型和指标，帮助成功地采用这些模型。此外，这两个社会运营商依赖于对信任概念的准确理解。如果没有这样的理解，这些操作员都不能创建所需的水平，以在期望的方向上创建变化。在本文中，我们定义了这些概念，在一个简洁的方式适合建模的概念和理解他们的动态。然后，我们介绍了一个影响和塑造模型，并使用计算红队测试原则来设计和演示这个模型是如何运作的。我们通过模拟环境验证计算结果，以显示人工社会中的社会影响和塑造。
英文摘要：
Sociotechnical systems are complex systems, where nonlinear interaction among different players can obscure causal relationships. The absence of mechanisms to help us understand how to create a change in the system makes it hard to manage these systems. Influencing and shaping are social operators acting on sociotechnical systems to design a change. However, the two operators are usually discussed in an ad-hoc manner, without proper guiding models and metrics which assist in adopting these models successfully. Moreover, both social operators rely on accurate understanding of the concept of trust. Without such understanding, neither of these operators can create the required level to create a change in a desirable direction. In this paper, we define these concepts in a concise manner suitable for modelling the concepts and understanding their dynamics. We then introduce a model for influencing and shaping and use Computational Red Teaming principles to design and demonstrate how this model operates. We validate the results computationally through a simulation environment to show social influencing and shaping in an artificial society.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
