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.

翻译：本文探讨了采用多学科方法对通用人工智能（AGI）及大语言模型（LLMs）进行测试与对齐的潜在路径。随着LLMs的快速发展和广泛应用，其在伦理对齐、可控性与可预测性方面带来的挑战已成为重要的研究课题。本研究提出了一种基于虚拟现实框架的创新型仿真多智能体系统，该系统通过复现真实世界环境，由自动化"数字公民"模拟复杂社会结构与交互过程，以检验并优化AGI性能。通过整合社会学、社会心理学、计算机科学、物理学、生物学及经济学等领域的理论，研究论证了构建更具人类对齐性与社会责任感的AGI的可能性。该数字环境旨在提供一个动态平台，使高级AI智能体能够自主交互并独立决策，从而模拟真实场景。由LLMs驱动的数字城市中的行动者作为主要智能体，展现出高度的自主性。尽管该方法具有巨大潜力，但现实社会动态的不可预测性仍是其面临的主要挑战与局限性。本研究致力于推动AGI的发展与完善，强调未来研究需融合社会、伦理与理论维度。