Testing the implications of a dynamic, neurally-informed computational model of valuation, decision making, and self-control

测试动态、神经信息计算模型的评估、决策和自我控制的影响

• 批准号: RGPIN-2016-05641
• 负责人: Hutcherson, Cendri
• 金额: $ 2.04万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=631378
• 关键词: Testing; implications; dynamic; neurally; informed

Have you ever started reaching for a tempting plate of cookies, only to stop a fraction of a second later when you remember that they’re full of fat and sugar? Or struggled to resist the lure of TV and the Internet while working? Effective self-control allows us to resist these kinds of immediate temptations and make decisions we know will leave us better off in the end. Unfortunately, people often struggle with temptation and choose in ways they later regret. Despite decades of research, we don’t fully understand why. What makes self-control feel so hard sometimes? What goes wrong when we succumb to temptation? Most importantly, how can we develop better self-control?

你有没有开始拿一盘诱人的饼干，但一秒钟后当你记起它们富含脂肪和糖时，你就停了下来？或者在工作时挣扎着抵抗电视和互联网的诱惑？有效的自我控制使我们能够抵制这些直接的诱惑，并做出我们知道最终会让我们过得更好的决定。不幸的是，人们经常与诱惑作斗争，选择以后会后悔的方式。尽管进行了几十年的研究，但我们并不完全明白其中的原因。是什么让自我控制有时感觉如此困难？当我们屈服于诱惑时，哪里出了问题？最重要的是，我们怎样才能培养出更好的自控力？