研一同学入门学习资料

研一同学入门学习资料

课题组简介

社会认知与道德决策实验室 ( Social cognition & moral decision-making lab, SCMD LAB) 是我们在宁波大学心理学系的实验室。目前实验室的研究领域主要集中在社会认知与道德决策，采用计算建模的方法结合认知神经科学技术（e.g., EEG, eye-tracking, tDCS)，从认知、情感、行为与神经系统等层面，探讨个体进行社会决策（如，公平、合作、信任与诚实）以及道德决策（道德伪善、伤害厌恶）与判断（功利主义vs道义论）时的认知加工过程。此外，我们也关注特殊群体（青少年、老人年、社交焦虑者、流动儿童）的社会决策过程。

需要学习的software

• Psychopy

B站：Psychopy介绍与教程

B站：手把手教你psychopy

• JASP

https://jasp-stats.org/teaching-with-jasp/

https://www.bilibili.com/video/BV1Rx41157BD?from=search&seid=5927717856440453066

当然最好能直接学习R语言。

• Zetore

https://www.bilibili.com/video/BV1cJ411h77k

https://www.bilibili.com/video/BV1Xb411i7eg/

入门阅读书籍

戴维·迈尔斯, 侯玉波, 乐国安, 张志勇 (2016). 社会心理学. 北京：人民邮电出版社.（第6章 从众和服从、第7章 说服、第8章 群体影响、第10章 攻击：伤害他人、第12章 帮助行为、第13 章冲突与和解）「必读」

王轶楠. (2020). 心理学研究方法：从选题到论文发表. 中国人民大学出版社. 「必读」

中国心理学会. (2016). 心理学论文写作规范 (第2版.). 科学出版社.

Van Lange, P. A. M., Rockenbach, B., & Yamagishi, T. (2017). Trust in Social Dilemmas. Oxford University Press.

Bicchieri, C. (2016). Norms in the Wild: How to Diagnose, Measure, and Change Social Norms (1st edition). Oxford University Press. 「必读」

Brennan, G., Eriksson, L., Goodin, R. E., & Southwood, N. (2013). Moral and social norms. Oxford University Press.「必读」

Camerer, C. F., & Fehr, E. (2004). Measuring social norms and preferences using experimental games: A guide for social scientists. In Foundations of human sociality (pp. 55–95). Oxford University Press. 「必读」

Bicchieri, C. (2005). The Grammar of Society: The Nature and Dynamics of Social Norms. Cambridge University Press. 「部分章节选读」

入门阅读材料

• Stanford Encyclopedia of Philosophy Archive: Social Norms「必读」
• The Science of Cooperation
• Introduction to experimental economics

入门阅读文献

Henrich, J., & Muthukrishna, M. (2020). The Origins and Psychology of Human Cooperation. Annual Review of Psychology, 44. 「必读」

Apicella, C. L., & Silk, J. B. (2019). The evolution of human cooperation. Current Biology, 29(11), R447-R450. 「必读」

Robson, S. E., Repetto, L., Gountouna, V.-E., & Nicodemus, K. K. (2019). A review of neuroeconomic gameplay in psychiatric disorders. Molecular Psychiatry, 1.

FeldmanHall, O., & Dunsmoor, J. E. (2019). Viewing Adaptive Social Choice Through the Lens of Associative Learning. Perspectives on Psychological Science, 14(2), 175-196.

Roberts, I. D., & Hutcherson, C. A. (2019). Affect and Decision Making: Insights and Predictions from Computational Models. Trends in Cognitive Sciences, 0(0).

Dunning, D., Fetchenhauer, D., & Schlösser, T. (2019). Why People Trust: Solved Puzzles and Open Mysteries. Current Directions in Psychological Science, 28(4), 366–371.

Jagau, S., & van Veelen, M. (2017). A general evolutionary framework for the role of intuition and deliberation in cooperation. Nature Human Behaviour, 1(8), 0152.

Sanfey, A. G., Stallen, M., & Chang, L. J. (2014). Norms and expectations in social decision-making. Trends in Cognitive Sciences, 18(4), 172–174.

Conway, P., & Gawronski, B. (2013). Deontological and utilitarian inclinations in moral decision making: a process dissociation approach. Journal of Personality and Social Psychology, 104(2), 216–235.

黎穗卿, 陈新玲, 翟瑜竹, 张怡洁, 章植鑫, 封春亮. (2021). 人际互动中社会学习的计算神经机制. 心理科学进展, 29(4), 677. 「必读」

高青林, 周媛. (2020). 计算模型视角下信任形成的心理和神经机制——基于信任博弈中投资者的角度. 心理科学进展, 29(1), 178–189. 「必读」

张银花, 李红, 吴寅 (2020). 计算模型在道德认知研究中的应用. 心理科学进展, 28(7), 1042–1055. 「必读」

吕小康, 汪新建 (2020). 建设力与美兼具的中国特色社会心理学. 心理技术与应用, 8(4), 193–199.

陈维扬, 谢天. (2020). 文化演化的认知视角——从个体社会学习出发探究文化动态性. 心理科学进展, 28(12), 2137–2149. 「必读」

石荣, 刘昌 (2019). 基于直觉的亲社会性：来自社会启发式假设的思考. 心理科学进展, 27(8), 1468–1477. 「必读」

刘媛媛, 丁一, 彭凯平, 胡传鹏 (2019). 多项式加工树模型在社会心理学中的应用. 心理科学, 42(2), 422–429.

刘传军廖江群 (2019). 社会困境研究的范式沿革及其理论价值：以道德两难决策为例. chinaXiv

陈维扬, 谢天. (2018). 社会规范的动态过程. 心理科学进展, 26(7), 1284–1293. 「必读」

重要研究者与实验室

David Dunning

Paul Van Lange

Alan Sanfey

Thomas Talhelm

Lusha Zhu

Rongjun Yu

Ian Krajbich

Krajbich, Associate Professor, Director of the Decision Sciences Collaborative

I am a neuroeconomist with a background in both the social sciences and neuroscience. My research combines tools from psychology, neuroscience and economics to investigate the mechanisms behind decision-making. We are a very interdisciplinary lab and are interested both in using economic tasks and theory to better understand cognitive neuroscience, and in using models and measures from cognitive neuroscience to do better economics.

Specific examples of research topics in the lab include:

• using eye-tracking to study the relationship between what people look at and what they choose
• using functional magnetic resonance imaging (fMRI) to see how the brain assigns value to different items and makes choices between them
• using computational models like the diffusion model (DDM) to predict people’s behavior in different tasks
• using fMRI data combined with machine learning techniques to predict mental states and improve economic institutions
• using response times to infer people’s preferences and beliefs```

Oriel FeldmanHall

Oriel FeldmanHall is an Assistant Professor of Cognitive, Linguistic and Psychological Sciences at Brown University. She received her Doctorate from the University of Cambridge, United Kingdom, and her Bachelor of Arts from Cornell University. In 2016, Dr. FeldmanHall won the Association for Psychological Science Rising Star Award, in recognition of innovative work that has already advanced the field. She also recently won the prestigious NARSAD Young Investigator Award from the Brain & Behavior Research Foundation, which provides support for the most promising young scientists conducting neurobiological research, the Herry Merritt Wriston Award for excellence in teaching and scholarship, and the Social and Affective Neuroscience Society’s Innovation Award.

How do we learn who to trust, how to cooperate, when to reciprocate, and what to do when we have been treated unfairly? How do humans learn about reward and punishment contingencies during social interactions? Dr FeldmanHall’s research seeks to disentangle the cognitive and neural processes behind the complex choices that form the basis of human social behavior. She aims to understand how the brain detects, values, and assesses conflicting reward and punishment contingencies during moral dilemmas, and to examine the role of emotion and its operational power in shaping these social interactions. She merges multiple different fields, including behavioral economics and social psychology, with imaging and psychophysiological techniques to investigate the brain mechanisms that support these complex processes. Find out more at http://www.feldmanhalllab.com/

We study the neural basis of human social behavior, with a focus on morality, altruism, and socio-emotional decision-making. The human social experience centers on resolving competing pressures of harm, fairness, self-interest, and concern for others. We aim to understand how the brain detects, values, and assesses these conflicting reward and punishment contingencies, and to examine the role of emotion and its operational power in shaping these social interactions. We combine behavioral economics and social psychology tools with imaging and psychophysiological techniques to investigate the brain mechanisms that support these complex processes

• David Rand

Associate Professor of Management Science & Brain and Cognitive Sciences | MIT

David Rand uses a cognitive science perspective - grounded in the tension between more intuitive versus deliberative modes of decision-making - to explore topics such as cooperation, outrage, misinformation, political preferences, and social media platform behavior.