学术报告
Human reinforcement learning and decision-making
报告人: Jian Li, Ph.D.
Steinhardt School of Culture, Education, and Human
Development, New York University, New York.
时间: 14:30, November 3.
地 点: 生命科学学院411会议室.
Reinforcement learning (RL), a computational learning algorithm that’s derived from formal artificial intelligence literature has been widely applied to animal and human behaviors to capture and predict their performance in various circumstances. We adopted RL together with behavioral neuroscience, functional magnetic resonance imaging (fMRI) technique to investigate the neural underpinnings of such learning mechanism in human being. We focused our studies on brain structures that are heavily involved in reward processing such as human striatum and amygdala to probe the exact computational roles they played in the learning and decision-making processes. Recently, we started to investigate how social information, in addition to the trial-and- error reinforcement feedback information, is encoded and represented internally and how it insinuates into the final decision-making machinery and bias human’s economic choice behavior.
欢迎各位老师同学参加！