摘要
多人交互情境的数学归纳推理存在有限理性,但现有研究尚未阐明社会情境下数学归纳推理过程中快速直觉的系统1和慢速慎思的系统2是如何相互作用的。社会性数学归纳推理是指在多人交互的社会情境中,个体进行数学归纳时,不仅要识别数列本身的规律,还要考虑这些规律会如何因他人的决策而发生变化或受到影响。本研究旨在探究社会性数学归纳推理中推理和心理理论双系统的神经机制,特别是两类双系统如何相互作用以实现对社会环境的动态适应。结合行为、事件相关电位(ERP)和功能性磁共振成像(fMRI)技术,本研究将分为三个部分:首先,探究非社会性数学归纳推理中双系统的证据;其次,全面比较社会性和非社会性数学归纳推理中双系统的神经机制,重点分析推理过程中的双系统协同作用;最后,深入调查社会情境如何调节社会性数学归纳推理的神经基础,探索社会情境对推理过程的影响及其神经机制。本研究将拓展双系统理论框架以探究复杂经济学的认知神经基础,为理解个体在多人社会互动中的推理认知过程提供新理论视角,并为数学教育、人工智能等领域的实践应用提供启示。
Numerical inductive reasoning in multi-agent interactive contexts reflects bounded rationality.However,it is still unclear how fast intuitive System 1 and slow deliberative System 2 interact under social contexts.Social numerical inductive reasoning refers to situations where individuals must not only induce numerical patterns but also consider how these patterns are modulated by others'decisions in multi-agent interactive social contexts.This project aims to explore the cognitive neural mechanisms of dual systems in numerical inductive reasoning and theory of mind underlying social numerical inductive reasoning,specifically how the two systems interact to adapt to the social environment.By combining behavioral experiments,event-related potentials(ERPs),and functional magnetic resonance imaging(fMRI)techniques,this project will be divided into three parts:firstly,investigating the evidence of the dual systems in non-social numerical inductive reasoning to establish a foundation for understanding the cognitive mechanisms in social tasks;secondly,comprehensively comparing neural mechanisms of dual systems in numerical inductive reasoning between social and non-social contexts,with emphasis on analyzing the collaborative functioning of dual systems during reasoning;and lastly,examining the neural mechanisms in social numerical inductive reasoning under different types of social contexts,exploring the influence of social contexts on reasoning processes and their neural mechanisms.This project will expand the application of dual system theory to explore the cognitive neural mechanism of complexity economy,providing new theoretical perspectives for understanding cognition in multi-agent interactive social contexts,inspiring mathematical education,artificial intelligence,and other practical applications.
作者
肖风
郑秀辰
肖娜
陈庆飞
武晓菲
张頔
XIAO Feng;ZHENG Xiuchen;XIAO Na;CHEN Qingfei;WU Xiaofei;ZHANG Di(School of Psychology,Key Laboratory of Brain Function and Brain Disease Prevention and Treatment of Guizhou Province,Guizhou Normal University,Guiyang 550025,China;School of Psychology,Shenzhen University,Shenzhen 518060,China;Jing Hengyi School of Education,Hangzhou Normal University,Hangzhou 311121,China)
出处
《心理科学进展》
北大核心
2025年第9期1472-1482,共11页
Advances in Psychological Science
基金
国家自然科学基金地区项目(32460208)。
关键词
复杂经济学
归纳推理
有限理性
双系统
complexity economy
inductive reasoning
bounded rationality
dual system
作者简介
通信作者:肖风,E-mail:xiaofeng19850328@gmail.com。
