Cushman Fiery, Kumar Victor, Railton Peter
Department of Psychology, Harvard University, United States.
Department of Philosophy, Boston University, United States.
Cognition. 2017 Oct;167:1-10. doi: 10.1016/j.cognition.2017.06.008. Epub 2017 Jun 16.
The past 15years occasioned an extraordinary blossoming of research into the cognitive and affective mechanisms that support moral judgment and behavior. This growth in our understanding of moral mechanisms overshadowed a crucial and complementary question, however: How are they learned? As this special issue of the journal Cognition attests, a new crop of research into moral learning has now firmly taken root. This new literature draws on recent advances in formal methods developed in other domains, such as Bayesian inference, reinforcement learning and other machine learning techniques. Meanwhile, it also demonstrates how learning and deciding in a social domain-and especially in the moral domain-sometimes involves specialized cognitive systems. We review the contributions to this special issue and situate them within the broader contemporary literature. Our review focuses on how we learn moral values and moral rules, how we learn about personal moral character and relationships, and the philosophical implications of these emerging models.
在过去的15年里,对支持道德判断和行为的认知与情感机制的研究蓬勃发展。然而,我们对道德机制理解的这种增长掩盖了一个关键且互补的问题:它们是如何习得的?正如《认知》杂志的这一特刊所证明的,一批关于道德学习的新研究现已牢固扎根。这一新的文献借鉴了其他领域所开发的形式方法的最新进展,如贝叶斯推理、强化学习和其他机器学习技术。与此同时,它还展示了在社会领域——尤其是在道德领域——的学习和决策有时涉及专门的认知系统。我们回顾了对这一特刊的贡献,并将它们置于更广泛的当代文献之中。我们的综述重点关注我们如何学习道德价值观和道德规则,如何了解个人的道德品质和人际关系,以及这些新兴模型的哲学含义。