即便在相同的情形中,每个人所做的决策也有千差万别,导致决策个体差异的因素之一就是数学能力。文章综述了算术能力、数量表征、概率推理能力以及数学认知启发式对各种决策的影响。目前这方面的研究或者采用相关范式将数学能力作为决策的外部关联因素,或者采用成分范式确定决策过程所需要的特定数学认知成分;观点上的主要争论在于是一般认知能力还是数学能力在预测决策表现,以及数学能力是否总是对决策有积极作用;此外,双系统模型和模糊痕迹理论有望为决策的个体差异提供理论解释。今后研究应该澄清上述争论,确定合适的研究范式和结果解释框架,并探讨更多提高决策能力的措施。
Though in similar conditions, different people make diversified decisions. Such variance may derive from different levels of mathematical ability, which includes numeracy, quantity representation, probability inference, and numerical heuristics. Researchers have adopted two distinguishing paradigms in order to take an insight to the influence of mathematical ability. The most commonly used paradigm is the correlation method through which mathematical ability is regarded as an external correlate factor of decision-making; the other is the component paradigm which is applied to identify specific mathematical ability components involved in a decision-making process. Debates of the recent research lie in not only the role of mathematical ability and general cognition in decision-making, but also whether mathematical ability consistently makes a positive contribution to decision-making. Dual-system theory and fuzzy-trace theory could offer a framework for the explanation of individual difference in decision-making. Further research should focus on clarifying the above-mentioned controversy, developing a more efficient research paradigm and an unified explanation framework, as well as discovering methods to help people improve decision performance.