Emotional intelligence (EI), or the ability to perceive, use, understand and regulate emotions,
appears to be helpful in the performance of “hot”(ie, emotionally laden) cognitive tasks when …

People often fail to use base-rate information appropriately in decision-making. This is
evident in the inverse base-rate effect, a phenomenon in which people tend to predict a rare …

Several attention-based models of associative learning are built upon the learned
predictiveness principle, whereby learning is optimized by attending to the most predictive …

Learning is blocked when a stimulus is followed by an outcome that is identical to what was
expected and thus contains no new information. This classic 'blocking'effect exemplifies that …

Attention determines which cues receive processing and are learned about. Learning,
however, leads to attentional biases. In the study of animal learning, in some circumstances …

Prediction errors have a prominent role in many forms of learning. For example, in
reinforcement learning agents learn by updating the association between states and …

Previous research has shown that cues that are good predictors of relevant outcomes
receive more attention than nonpredictive cues. This attentional bias is thought to stem from …

In 2 experiments, participants received a predictive learning task in which the presence of 1
or 2 food items signaled the onset or absence of stomachache in a hypothetical patient …

Previous studies have provided evidence that selective attention tends to prioritize the
processing of stimuli that are good predictors of upcoming events over nonpredictive stimuli …

The sensitivity of the blocking effect to outcome additivity pretraining has been used to argue
that the phenomenon is the result of deductive inference, and to draw general conclusions …