Social identities play an important role in the dynamics of human societies, and it can be argued that some sense of identification with a larger cause or idea plays a critical role in making humans act responsibly. Often social activists strive to get populations to identify with some cause or notion -- like green energy, diversity, etc. in order to bring about desired social changes. We explore the problem of designing computational models for social identities in the context of autonomous AI agents. For this, we propose an agent model that enables agents to identify with certain notions and show how this affects collective outcomes. We also contrast between associations of identity with rational preferences. The proposed model is simulated in an application context of urban mobility, where we show how changes in social identity affect mobility patterns and collective outcomes.

翻译：社会认同在人类社会的动态中扮演着重要角色，可以认为，对更宏大事业或理念的某种认同感是促使人类负责任行事的关键因素。社会活动家常致力于让民众认同某种事业或概念——例如绿色能源、多样性等——以促成预期的社会变革。我们探讨了在自主人工智能智能体背景下，为社会认同设计计算模型的问题。为此，我们提出一种智能体模型，使智能体能够认同特定概念，并展示这如何影响集体结果。我们还对比了认同与理性偏好之间的联系。所提出的模型在城市出行这一应用场景中进行了仿真，展示了社会认同的变化如何影响出行模式及集体结果。