题目：Dimensions of Social Learning in Mind, Brain, and Machine

报告人：张磊副教授

时间：2026年3月24日（周二）上午10：10

地点：脑与心理科学研究院（明德楼）501学术厅

Abstract:

Social learning, how we acquire knowledge from, for, and about others, emerges from multiple interacting dimensions: whom we interact with, how we draw inferences, and how we make decisions. This talk outlines a series of studies connecting these dimensions across cognitive, neural, and computational levels. I will present evidence that humans do not simply copy others but integrate actions and outcomes through structured and value-based inference. Neuroimaging findings show that social prediction and vicarious value rely on both domain-general learning mechanisms and socially specific neural computations. I will also discuss how social learning may go awry in individuals with mental health risks. Finally, I will present recent work on how these principles can inform machine intelligence by tuning large language models with a “social chain of thought”, which may offer promising steps toward more human-like social inference in AI. Together, these insights map key dimensions of social learning across mind, brain, and machine.

张磊，英国伯明翰大学心理学院副教授。于2011年毕业于北京师范大学心理学院（现心理学部），西班牙巴斯克认知、语言与大脑研究所取得硕士学位（2013年），德国汉堡大学医学中心系统神经科学研究所取得博士学位（最高荣誉毕业；2018年），后在奥地利维也纳大学心理学院从事研究与教学工作。研究致力于解析复杂社会情境中人类灵活性与适应性行为的认知神经基础，以及相应的在精神障碍疾患中出现的认知神经缺陷。综合采用功能磁共振成像（fMRI）以及计算建模，尤其是强化学习模型等技术研究人类的社会决策、社会互动、社会学习。主要工作发表在Science Advances，PLOS Biology，eLife、Psychological Methods等杂志。担任Communications Biology、PLOS Computational Biology等期刊编委会成员，以及欧盟ERC、英国UKRI、以及瑞士SNSF等科研基金委评审专家。2022获美国美国心理科学协会学术新星表彰（APS Rising Star Award）。

网站：https://www.birmingham.ac.uk/staff/profiles/psychology/zhang-lei

编辑：脑与心理科学研究院