Correlation between instances is often modelled via a kernel function using input attributes of the instances. Relational knowledge can further reveal additional pairwise correlations between variables of interest. In this paper, we develop a class of models which incorporates both reciprocal relational information and input attributes using Gaussian process techniques. This approach provides a...

Relational reasoning is often considered more resource intensive than featurebased reasoning. This view implies that learning categories defined by relational regularities should be more difficult than learning categories defined by featural regularities. Unfortunately previous studies do not ground featural and relational information in a common perceptual substrate. After addressing this conc...

In this review we argue that relatively recent evolutionary adaptations that are relational or psychological in nature might refocus, dampen, or otherwise shape hormonal processes related to evolutionarily Bolder^ behaviors. We focus on the steroid hormones testosterone and estradiol and discuss a) their associations with Bolder relational processes^ such as mate competition, dominance and nurt...