This paper explores the potential of a multidisciplinary approach to testing
and aligning artificial general intelligence (AGI) and LLMs. Due to the rapid
development and wide application of LLMs, challenges such as ethical alignment,
controllability, and predictability of these models have become important
research topics. This study investigates an innovative simulation-based
multi-agent system within a virtual reality framework that replicates the
real-world environment. The framework is populated by automated 'digital
citizens,' simulating complex social structures and interactions to examine and
optimize AGI. Application of various theories from the fields of sociology,
social psychology, computer science, physics, biology, and economics
demonstrates the possibility of a more human-aligned and socially responsible
AGI. The purpose of such a digital environment is to provide a dynamic platform
where advanced AI agents can interact and make independent decisions, thereby
mimicking realistic scenarios. The actors in this digital city, operated by the
LLMs, serve as the primary agents, exhibiting high degrees of autonomy. While
this approach shows immense potential, there are notable challenges and
limitations, most significantly the unpredictable nature of real-world social
dynamics. This research endeavors to contribute to the development and
refinement of AGI, emphasizing the integration of social, ethical, and
theoretical dimensions for future research.

本研究探讨了多学科方法在测试和调整人工通用智能（AGI）和 LLMs 方面的潜力。通过在虚拟现实框架中采用基于模拟的多智能体系统，模拟真实世界环境中的复杂社会结构和相互作用，通过应用社会学、社会心理学、计算机科学、物理学、生物学和经济学等领域的各种理论，展示了实现更具人类对齐和社会责任的 AGI 的可能性。该研究旨在为 AGI 的开发和改进做出贡献，强调社会、伦理和理论维度的整合以供未来研究参考。