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Sufficiency and Necessity Assumptions in Causal Structure Induction

机译:因果结构归纳的充分性和必要性假设

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Research on human causal induction has shown that people have general prior assumptions about causal strength and about how causes interact with the background. We propose that these prior assumptions about the parameters of causal systems do not only manifest themselves in estimations of causal strength or the selection of causes but also when deciding between alternative causal structures. In three experiments, we requested subjects to choose which of two observable variables was the cause and which the effect. We found strong evidence that learners have interindividually variable but intraindividually stable priors about causal parameters that express a preference for causal determinism (sufficiency or necessity; Experiment 1). These priors predict which structure subjects preferentially select. The priors can be manipulated experimentally (Experiment 2) and appear to be domain-general (Experiment 3). Heuristic strategies of structure induction are suggested that can be viewed as simplified implementations of the priors.
机译:关于人类因果归纳的研究表明,人们对因果强度以及原因如何与背景相互作用具有一般的先验假设。我们提出,关于因果系统参数的这些先前假设不仅会在因果强度估计或原因选择中体现出来,而且在决定其他因果结构之间时也会体现出来。在三个实验中,我们要求受试者选择两个可观察变量中的哪个是原因,哪个是结果。我们发现有力的证据表明,学习者对于因果参数表现出因果关系确定性(充分性或必要性;实验1)的偏好,因果关系参数在个体间存在差异,但在个体内具有稳定的先验。这些先验预测对象优先选择哪种结构。先验可以通过实验进行操作(实验2),并且似乎是领域通用的(实验3)。提出了结构归纳的启发式策略,可以将其视为先验的简化实现。

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