实验经济学与新技术的融合演化趋势分析  

Analysis of the Evolutionary Trends in the Integration of Experimental Economics and New Technologies

作　　者：刘伟[1] 刘子霖 LIU Wei;LIU Zilin(School of Economics and Management,Beijing Information Science and Technology University,Beijing 100192,China)

机构地区：[1]北京信息科技大学经济管理学院实验教学中心,北京100192 [2]北京信息科技大学经济管理学院,北京100192

出　　处：《经济与管理》2022年第1期80-86,共7页Economy and Management

基　　金：国家自然科学基金项目(71571021);北京市社会科学基金项目(15JGB122);科技部重点研发计划项目(2019YFB405003)。

摘　　要：实验经济学发展至今学科理论方法几经扩充演变,相关研究覆盖整个经济学研究领域。实验经济学的发展经历了诞生、发展、壮大、未来四个阶段。诞生阶段因经济学对自然人理论证实证伪的需要,与实验方法结合,产生实验经济学;发展阶段因学科理论的需要,与博弈论、计算机技术结合,开启了对决策的研究;壮大阶段因进一步对行为决策探索的需要,与行为经济学、神经影像学技术结合,对决策深层构成进行研究;未来的实验经济学则是与AI、VR技术结合的"智能经济学"。The theoretical method of experimental economics has been expanded and evolved several times since its development and its related research has covered the entire field of economics research. This paper divides the development of experimental economics into four stages: birth, development, growth, and the future. At the birth stage, economics’ demand for "natural persons" and theoretical verification needs were combined with experimental methods to produce experimental economics. In the development stage, due to the theoretical needs of the subject, the combination of experimental economics with game theory and computer technology opened up the research on decision-making. In the growth stage, due to the need for further exploration of behavioral decision-making, experimental economics, and behavioral economics and neuroimaging are combined to study the deep structure of decision-making. This paper holds that future experimental economics will be "intelligent economics" combined with AI and VR technologies.

关 键 词：实验经济学 技术融合 人工智能 神经经济学 

分 类 号：F069.9[经济管理—政治经济学]