用心理模型模拟人类行为，让训练更真实可信。
A Multi-Agent Psychological Simulation System for Human Behavior Modeling
- 基于心理学理论构建多智能体决策系统，模拟内在心理过程。
- 通过内部分歧与协商生成符合人类心理的行为，透明可解释。
- 适合教师培训、心理研究等需要真实互动场景的领域。
人本领域的培训与教育需要真实的实践环境，但现有对人类行为的模拟仍不充分。本文提出一种多智能体心理模拟系统，通过建模内部认知-情感过程来生成可信的人类行为。该系统不同于黑箱神经网络模型，其基础为成熟的心理学理论（如自我效能、成长型思维、社会建构主义），并显式模拟一个“内部议会”——由代表关键心理因素的多个智能体构成。这些智能体通过辩论与交互决定最终行为输出，实现前所未有的透明性与人类心理一致性。我们阐述了系统的架构与理论基础，展示了其在教师培训与研究中的应用，并说明其如何体现社会学习、认知学徒制、刻意练习和元认知等原则。
原文摘要 · Abstract (English)
Training and education in human-centered fields require authentic practice, yet realistic simulations of human behavior have remained limited. We present a multi-agent psychological simulation system that models internal cognitive-affective processes to generate believable human behaviors. In contrast to black-box neural models, this system is grounded in established psychological theories (e.g., self-efficacy, mindset, social constructivism) and explicitly simulates an ``inner parliament'' of agents corresponding to key psychological factors. These agents deliberate and interact to determine the system's output behavior, enabling unprecedented transparency and alignment with human psychology. We describe the system's architecture and theoretical foundations, illustrate its use in teacher training and research, and discuss how it embodies principles of social learning, cognitive apprenticeship, deliberate practice, and meta-cognition.
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