Santa Fe Institute, Santa Fe, NM 87501, USA; Complexity Science Hub, 1080 Vienna, Austria.
Santa Fe Institute, Santa Fe, NM 87501, USA; Complexity Science Hub, 1080 Vienna, Austria; Vermont Complex Systems Center, University of Vermont, Burlington, VT 05405, USA.
Trends Cogn Sci. 2024 Oct;28(10):907-923. doi: 10.1016/j.tics.2024.07.001. Epub 2024 Jul 27.
Belief dynamics has an important role in shaping our responses to natural and societal phenomena, ranging from climate change and pandemics to immigration and conflicts. Researchers often base their models of belief dynamics on analogies to other systems and processes, such as epidemics or ferromagnetism. Similar to other analogies, analogies for belief dynamics can help scientists notice and study properties of belief systems that they would not have noticed otherwise (conceptual mileage). However, forgetting the origins of an analogy may lead to some less appropriate inferences about belief dynamics (conceptual baggage). Here, we review various analogies for modeling belief dynamics, discuss their mileage and baggage, and offer recommendations for using analogies in model development.
信念动态在塑造我们对自然和社会现象的反应方面起着重要作用,这些现象范围广泛,包括气候变化和大流行病、移民和冲突等。研究人员通常基于对其他系统和过程(如传染病或铁磁性)的类比来构建信念动态模型。与其他类比类似,信念动态的类比可以帮助科学家注意和研究他们原本不会注意到的信念系统的属性(概念性收益)。然而,忘记类比的起源可能会导致对信念动态的一些不太恰当的推断(概念性负担)。在这里,我们回顾了各种用于建模信念动态的类比,讨论了它们的收益和负担,并为在模型开发中使用类比提供了建议。