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The case of CAUSE: neurobiological mechanisms for grounding an abstract concept

机译:原因的案例:用于接地抽象概念的神经生物学机制

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摘要

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 family resemblance between causal actions and postulates that symbols are necessary for binding together the different partially shared semantic features of subsets 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.
机译:我们如何理解因果关系,如何理解“原因”等词?一些理论家认为,潜在的抽象概念是给我们的,知觉关联为从感知的现实生活事件中推断因果关系提供了相关提示。另一种方法强调行为的作用及其对因果关系概念的出现和相关术语的应用的典型后果。提出了一个因果关系模型,强调因果行为和假设之间的家族相似性,即符号是将因果行为子集及其目标的不同部分共享语义特征结合在一起所必需的。语言符号在约束抽象概念的不同语义特征子集方面起着关键作用。该模型是在分布式皮质回路的神经机制水平及其所承载的认知功能上详细阐述的。根据行为学和神经科学证据对该模型进行了讨论,并强调了未来研究的问题。总之,以因果关系为例,我认为抽象概念和词汇可以在现实生活中学习和建立,实现这种抽象语义基础的神经生物学机制在我们掌握之中。

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