题目：Moral cognition at the algorithmic level

报告人：Dr. Molly Crockett

Dr. Molly Crockett is an associate professor from Department of Experimental Psychology, University of Oxford. She got her Ph. D in Experimental Psychology, University of Cambridge, and her BS in Psychobiology at University of California, Los Angeles. The Crockett Lab studies the neural basis of altruism, morality and economic decision-making in healthy people and in psychiatric disorders. Our approach integrates social psychology, behavioral economics, neuroscience and philosophy. We use a range of methods including computational modeling, brain imaging, and pharmacology.

时间：2015年07月29日 星期三 15:00-16:00

地点： 北大王克桢楼1113室

The cognitive processes that give rise to moral judgments and decisions have long been the focus of intense study. Previous work has primarily explored the goals of moral computations, such as avoiding harm to others or maximizing utilitarian values. Here, I illustrate the advantages of investigating moral cognition at the level of algorithms that formally describe how features of moral dilemmas are transformed into decisions. The algorithmic approach has traditionally been employed in the domains of perceptual and reward-based learning and decision-making, but until recently had not been applied to the study of moral cognition. Using examples from recent studies I show how the algorithmic approach can provide novel insights into human morality and improve prediction of how neuromodulators shape moral cognition.