How can humans acquire relational representations that enable analogical inference and other forms of high-level reasoning? Using comparative relations as a model domain, we explore the possibility that bottom-up learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy…

Forty blind children and adolescents had to learn two unknown environments and then externalize the spatial representation via two methods--building a scale model and verbally estimating distances. High correlations were found between the two methods and between those methods and two systems of measuring mobility. (Author/JDD)