Cruz Nicole, Oberauer Klaus
University of Marburg, Marburg, Germany,
Mem Cognit. 2014 Nov;42(8):1345-56. doi: 10.3758/s13421-014-0442-x.
In this study, we compared the everyday meanings of conditionals ("if p then q") and universally quantified statements ("all p are q") when applied to sets of elements. The interpretation of conditionals was predicted to be directly related to the conditional probability, such that P("if p then q") = P(q|p). Quantified statements were assumed to have two interpretations. According to an instance-focused interpretation, quantified statements are equivalent to conditionals, such that P("all p are q") = P(q|p). According to a set-focused interpretation, "all p are q" is true if and only if every instance in set p is an instance of q, so that the statement would be accepted when P(q|p) = 1 and rejected when this probability was below 1. We predicted an instance-focused interpretation of "all" when the relation between p and q expressed a general law for an infinite set of elements. A set-focused interpretation of "all" was predicted when the relation between p and q expressed a coincidence among the elements of a finite set. Participants were given short context stories providing information about the frequency of co-occurrence of cases of p, q, not-p, and not-q in a population. They were then asked to estimate the probability that a statement (conditional or quantified) would be true for a random sample taken from that population. The probability estimates for conditionals were in accordance with an instance-focused interpretation, whereas the estimates for quantified statements showed features of a set-focused interpretation. The type of the relation between p and q had no effect on this outcome.
在本研究中,我们比较了条件句(“如果p那么q”)和全称量化陈述(“所有p都是q”)在应用于元素集时的日常含义。预计条件句的解释与条件概率直接相关,即P(“如果p那么q”)=P(q|p)。量化陈述被认为有两种解释。根据以实例为重点的解释,量化陈述等同于条件句,即P(“所有p都是q”)=P(q|p)。根据以集合为重点的解释,“所有p都是q”当且仅当集合p中的每个实例都是q的实例时才为真,因此当P(q|p)=1时该陈述会被接受,而当这个概率低于1时则被拒绝。我们预测,当p和q之间的关系表达了无限元素集的一般规律时,对“所有”的解释是以实例为重点的。当p和q之间的关系表达了有限集元素之间的巧合时,预测对“所有”的解释是以集合为重点的。参与者被给予简短的上下文故事,这些故事提供了关于总体中p、q、非p和非q情况同时出现频率的信息。然后要求他们估计对于从该总体中随机抽取的样本,一个陈述(条件句或量化陈述)为真的概率。条件句的概率估计符合以实例为重点的解释,而量化陈述的估计则显示出以集合为重点的解释的特征。p和q之间关系的类型对这一结果没有影响。