Reynvoet Bert, Sasanguie Delphine
Brain and Cognition Research Unit, Faculty of Psychology and Educational SciencesKU Leuven, Leuven, Belgium; Faculty of Psychology and Educational SciencesKU Leuven Kulak, Kortrijk, Belgium.
Front Psychol. 2016 Oct 13;7:1581. doi: 10.3389/fpsyg.2016.01581. eCollection 2016.
Recently, a lot of studies in the domain of numerical cognition have been published demonstrating a robust association between numerical symbol processing and individual differences in mathematics achievement. Because numerical symbols are so important for mathematics achievement, many researchers want to provide an answer on the 'symbol grounding problem,' i.e., how does a symbol acquires its numerical meaning? The most popular account, the approximate number system () , assumes that a symbol acquires its numerical meaning by being mapped on a non-verbal and ANS. Here, we critically evaluate four arguments that are supposed to support this account, i.e., (1) there is an evolutionary system for approximate number processing, (2) non-symbolic and symbolic number processing show the same behavioral effects, (3) non-symbolic and symbolic numbers activate the same brain regions which are also involved in more advanced calculation and (4) non-symbolic comparison is related to the performance on symbolic mathematics achievement tasks. Based on this evaluation, we conclude that all of these arguments and consequently also the mapping account are questionable. Next we explored less popular alternative, where small numerical symbols are initially mapped on a precise representation and then, in combination with increasing knowledge of the counting list result in an independent and exact symbolic system based on order relations between symbols. We evaluate this account by reviewing evidence on order judgment tasks following the same four arguments. Although further research is necessary, the available evidence so far suggests that this should be considered as a worthy alternative of how symbols acquire their meaning.
最近,数值认知领域发表了许多研究,证明了数字符号处理与数学成绩的个体差异之间存在紧密联系。由于数字符号对数学成绩至关重要,许多研究人员希望解答“符号基础问题”,即符号是如何获得其数字意义的?最流行的解释是近似数字系统(ANS),它假定符号通过映射到非语言的近似数字系统而获得其数字意义。在此,我们批判性地评估了四个支持这一解释的论据,即:(1)存在一个用于近似数字处理的进化系统;(2)非符号和符号数字处理表现出相同的行为效应;(3)非符号和符号数字激活相同的脑区,这些脑区也参与更高级的计算;(4)非符号比较与符号数学成绩任务的表现相关。基于这一评估,我们得出结论,所有这些论据以及因此的映射解释都是有问题的。接下来,我们探讨了不太流行的另一种解释,即小数字符号最初映射到精确表征上,然后,随着对计数列表的了解增加,形成一个基于符号之间顺序关系的独立且精确的符号系统。我们通过遵循相同的四个论据回顾顺序判断任务的证据来评估这一解释。尽管还需要进一步研究,但目前可得的证据表明,这一解释应被视为符号如何获得其意义的一个有价值的替代解释。