摘要
人工智能的快速发展对行为科学的研究内容和研究范式带来了深远影响,本文系统总结了这一变化所产生的三个前沿研究方向:第一,与人工智能交互过程中的人类态度行为研究以及人工智能对人类决策和偏好的影响机制;第二,围绕大语言模型自身行为特征和偏好模式开展的行为实验研究;第三,人工智能技术带来的方法论创新,包括利用AI智能体代替人类被试进行问卷调查和实验研究以及基于多智能体构建动态交互系统的复杂系统研究.文章最后讨论了人工智能与行为科学的交叉研究所面临的挑战与未来发展方向.
The rapid development of artificial intelligence has profoundly reshaped both the substantive focus and the methodological paradigms of behavioral science.This paper systematically synthesizes three frontier research directions that have emerged from these changes:1)Investigations of human attitudes and behaviors during interactions with AI,and the mechanisms through which AI affects human decision-making and preferences;2)behavioral experimental studies examining the behavioral characteristics and preference patterns of large language models;3)methodological innovations enabled by AI technologies,including the use of AI agents as surrogates for human participants in surveys and experiments,and complex-systems research that builds dynamic interactive systems based on multi-agent frameworks.The paper concludes with a discussion of the challenges confronting,and future directions for,interdisciplinary research at the intersection of AI and behavioral science.
作者
杨扬
孙乐轩
陈良源
林建浩
YANG Yang;SUN Lexuan;CHEN Liangyuan;LIN Jianhao(Lingnan College,Sun Yat-sen University,Guangzhou 510275,China;International School of Business&Finance,Sun Yat-sen University,Zhuhai 519082,China)
出处
《计量经济学报》
2025年第6期1491-1508,共18页
China Journal of Econometrics
基金
国家自然科学基金(72173143,71991474,72073148,72273156,72303258)
国家社会科学基金(22AZD121,24ZDA042)。
关键词
人工智能
行为科学
人机交互
大语言模型
基于智能体的实验
artificial intelligence
behavioral science
human-AI interaction
large language models
agent-based experiments
