Emergi-PersonaOS: A Persona Agent Operating System for Situational Adaptation and Controllable Evolution

2026-09-23

AI Summary

研究通过开发Emergi-PersonaOS系统，利用三层人格表示法和情境适应机制解决数字个体在与人交互中的人格一致性及可控演化问题。

Abstract

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.

Problem

• persona agents
• situational adaptation
• controllable evolution
• human-machine interaction

Innovation

• persona agents
• situational adaptation
• controllable evolution
• three-layer persona representation