题 目：Computational Processes underlying Prosocial and Antisocial Punishment
主讲人：陈发动 浙江大学“百人计划”研究员
主持人：罗德明 教授
时 间：2019年12月4日（周三）下午15:30—17:00
地 点：加拿大28开奖网
11号楼412室
主办单位：加拿大28开奖网
欢迎感兴趣的师生参加!
附：
摘要：Extensive evidence indicate that prosocial punishment plays an important role in promoting cooperation, while antisocial punishment is detrimental for cooperation. However, little is known on the decision-making process that underlies punishment decisions. Here, we investigate the computational processes underlying prosocial and antisocial punishment using response time and choice data from a public goods game experiment. We find that participants punish others pro-socially and antisocially. And punishment behavior is sensitive to the cost and the impact of punishment. The response time of punishment and non-punishment decisions is sensitive to the cost and the impact of decisions, and the cognitive process underlying prosocial and antisocial punishment is consistent with the predictions of drift-diffusion models. That is, prosocial and antisocial punishment share a common underlying process, and both of them are the results of calculated actions. In addition, compared to the outcome-based logistic model, modeling punishment behavioral from the perspective of cognitive processes improves the out-of-sample predictions.
主讲人简介：陈发动，经济学博士，2017年8月加入浙江大学管理学院，数据科学与管理工程学系“百人计划”研究员、博士生导师，中国技术经济学会神经经济管理专业委员会副秘书长，曾获得国家优秀自费留学生奖学金（2016）、浙江省哲学社会科学优秀成果二等奖、中国运筹学会行为运作管理分会优秀青年学者研究奖等。主要从事行为决策、决策神经科学、行为与实验经济学等领域的教学与科研工作。作为项目负责人，主持国家自然科学基金等多项科研项目。相关研究发表于《Nature Communications》等顶级期刊，并得到国内外主流媒体的广泛报道。
