Brain Language Laboratory, Department of Philosophy and Humanities, WE4, Freie Universität Berlin, 14195 Berlin, Germany
Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10099 Berlin, Germany.
Philos Trans R Soc Lond B Biol Sci. 2018 Aug 5;373(1752). doi: 10.1098/rstb.2017.0129.
How can we understand causal relationships and how can we understand words such as 'cause'? Some theorists assume that the underlying abstract concept is given to us, and that perceptual correlation provides the relevant hints towards inferring causation from perceived real-life events. A different approach emphasizes the role of actions and their typical consequences for the emergence of the concept of causation and the application of the related term. A model of causation is proposed that highlights the between causal actions and postulates that symbols are necessary for of causal actions and their goals. Linguistic symbols are proposed to play a key role in binding the different subsets of semantic features of the abstract concept. The model is spelt out at the neuromechanistic level of distributed cortical circuits and the cognitive functions they carry. The model is discussed in light of behavioural and neuroscience evidence, and questions for future research are highlighted. In sum, taking causation as a concrete example, I argue that abstract concepts and words can be learnt and grounded in real-life interaction, and that the neurobiological mechanisms realizing such abstract semantic grounding are within our grasp.This article is part of the theme issue 'Varieties of abstract concepts: development, use and representation in the brain'.
我们如何理解因果关系,又如何理解“原因”这样的词呢?一些理论家假设,潜在的抽象概念是给予我们的,而感知相关性为我们从感知到的现实生活事件中推断因果关系提供了相关的线索。另一种方法则强调了行动及其对因果概念出现和相关术语应用的典型后果的作用。本文提出了一种因果关系模型,强调了因果行动之间的关系,并假设符号对于因果行动及其目标的是必要的。本文提出语言符号在绑定抽象概念的不同语义特征子集方面起着关键作用。该模型在分布式皮质电路及其所承载的认知功能的神经机制水平上进行了阐述。本文结合行为和神经科学证据对该模型进行了讨论,并提出了未来研究的问题。总之,本文以因果关系为例,认为抽象概念和词语可以通过现实生活中的互动来学习和扎根,并认为实现这种抽象语义基础的神经生物学机制是我们可以理解的。本文是主题为“大脑中的各种抽象概念:发展、使用和表现”的一部分。