This article presents a comprehensive survey of research concerning interactions between
associative learning and attention in humans. Four main findings are described. First …

Two fundamental difficulties when learning novel categories are deciding (a) what
information is relevant and (b) when to use that information. Although previous theories have …

Abstract We introduce the Category Abstraction Learning (CAL) model, a cognitive
framework formally describing category learning built on similarity-based generalization …

We propose that biases in attitude and stereotype formation might arise as a result of
learned differences in the extent to which social groups have previously been predictive of …

Humans are clearly sensitive to causal structures—we can describe and understand causal
mechanisms and make predictions based on them. But this chapter asks: Is causal learning …

Eye tracking tools are now commonplace in the laboratories of experimental psychologists.
Recording the position of a person's gaze, often several hundred times per second, can …

Kruschke's EXIT model (Kruschke, 2001b) has been very successful in explaining a variety
of learning phenomena by means of selective attention. In particular, EXIT produces learned …

Four experiments using human participants examined how learning about the value of an
outcome with which a cue is associated influences attention to that cue. Experiment 1 …

The results of several recent studies of human associative learning indicate that people will
learn more rapidly about cues that have previously been experienced as predictive of events …

Two studies of human contingency learning investigated the influence of stimulus salience
on the cue competition effect of blocking. These studies demonstrated that blocking (defined …