张晓萌
XIAOMENG ZHANG
张晓萌于美国弗吉尼亚理工大学获得经济学博士学位。目前担任南京审计大学讲师。
我的核心学术兴趣聚焦行为经济学、神经经济学与人机交互机制。近年来,我重点探究算法中介如何重塑社会偏好,以及人工智能在委托代理模型与重复博弈中对人类合作行为产生的影响。结合实验室与田野实验,我致力于解析有限理性框架下的个体经济决策过程,探究情绪、认知偏差及外部环境在其中发挥的驱动作用。
目前我正推进多项跨学科研究,包括探讨大型语言模型介导下的人机互动机制,以及在金融决策中探析AI解释粒度与协作表现存在的非线性关系。这些研究工作旨在为理解数字时代的经济行为提供微观基础。
Xiaomeng Zhang received his Ph.D. in Economics from Virginia Tech and is currently an assistant professor at Nanjing Audit University.
My core academic interests focus on behavioral economics, neuroeconomics, and human-machine interaction mechanisms. In recent years, my research has primarily investigated how algorithmic mediation reshapes social preferences and the impact of artificial intelligence on human cooperative behavior in principal-agent models and repeated games. By combining laboratory and field experiments, I aim to unpack individual economic decision-making processes under bounded rationality, exploring the driving forces of emotions, cognitive biases, and external environments.
Currently, I am advancing several interdisciplinary studies, including exploring human-machine interaction mechanisms mediated by large language models, and analyzing the non-linear relationship between the granularity of AI explanations and collaborative performance in financial decision-making. This research aims to provide micro-foundations for understanding economic behavior in the digital age.
