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动态中扮演着重要角色，可以说对更宏大事业或理念的某种认同感对人类负责任行为具有关键影响。社会活动家常致力于使民众认同某些事业或理念——例如绿色能源、多样性等——以期实现期望的社会变革。本文在自主AI智能体背景下探讨社会认同计算模型的设计问题。为此，我们提出一种能使智能体认同特定概念的智能体模型，并展示这种认同如何影响集体结果。我们还将身份认同与理性偏好之间的关联进行对比分析。所提出的模型在城市交通应用场景中进行仿真实验，展示了社会认同变化如何影响交通模式与集体结果。