发表机构
Emergi Lab of Qianzhen Digital Tech; Hangzhou Dianzi University（千真数字科技Emergi实验室; 杭州电子科技大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出Emergi-PersonaOS，一个基于三层人格表征的智能体操作系统，通过情境适应与可控的信念更新机制，实现人格智能体在长期交互中的身份连续性、情境化表达与经验驱动发展。
AI 中文摘要
人类与数字存在之间的共生关系为未来人机交互提供了一幅愿景。在持久的人机关系中，人格为身份的连续性、互动中的个体性以及通过经验获得的发展提供了基础。我们通过人格智能体作为计算实现来研究这种能力，并引入了Emergi-PersonaOS，一个基于心理学的操作系统，用于管理人格对象在其整个生命周期中的运作。该系统将倾向性特质、特征性适应和叙事身份组织成三层人格表征，区分相对持久的人格信念与其在当前人格状态中的激活。在情境适应过程中，它整合当前对话者、关系、事件和检索到的记忆来推断人格状态并生成行动和回复；在长期发展过程中，它记录经验和结果，并通过变化归因、意义建构和行为测试来制定和评估修订候选方案。信念更新通过显式审查、可追溯的证据和版本记录以及拒绝候选方案的能力进行管理，使人格演化可控。利用电视角色对话作为纵向材料，我们展示了长时程系统操作，并在具体实现中检验了其主要机制。这项工作为人格智能体在持续互动中保持个体连续性、产生情境特定表达并通过经验发展提供了一个计算框架。
英文摘要
Symbiosis between humans and digital beings offers a vision for the future of human--machine interaction. In enduring human--machine relationships, personality provides a foundation for continuity of identity, individuality in interaction, and development through experience. We investigate this capacity through persona agents as computational implementations and introduce Emergi-PersonaOS, a psychology-grounded operating system for managing persona objects throughout their lifecycle. The system organizes dispositional traits, characteristic adaptations, and narrative identity into a three-layer persona representation, distinguishing relatively enduring persona beliefs from their activation in the current persona state. During situational adaptation, it integrates the current interlocutor, relationship, event, and retrieved memories to infer a persona state and generate actions and replies; during long-term development, it records experiences and outcomes, and develops and evaluates revision candidates through change attribution, meaning-making, and behavioral testing. Belief updates are managed through explicit review, traceable evidence and version records, and the ability to reject candidates, making persona evolution controllable. Using television-character dialogue as longitudinal material, we demonstrate long-horizon system operation and examine its principal mechanisms in a concrete implementation. This work provides a computational framework for persona agents to maintain individual continuity, produce situation-specific expression, and develop through experience over sustained interaction.
