Over the past 20 years, human contingency learning has resurfaced as an important topic
within experimental psychology. This renewed interest was sparked mainly by the proposal …

Phasic activity of midbrain dopamine neurons is currently thought to encapsulate the
prediction-error signal described in model-free reinforcement learning algorithm. This phasic …

We review evidence that supports the conclusion that people can and do learn in two distinct
ways–one associative, the other propositional. No one disputes that we solve problems by …

Two experiments are reported that demonstrate rate of learning in an allergy prediction task
can be affected by the predictive history of the cues involved, even if that history relates to …

Overshadowing and blocking are two important findings that are frequently used to constrain
models of associative learning. Overshadowing is the finding that learning about a cue …

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 …

Retrospective revaluation refers to an increase (or decrease) in responding to conditioned
stimulus (CS X) as a result of decreasing (or increasing) the associative strength of another …

In this article, we present our first attempt at combining an elemental theory designed to
model representation development in an associative system (based on McLaren, Kaye, & …

Learning of cue-outcome relationships in associative learning experiments is often
assessed by presenting cues without feedback about the outcome and informing …

The aim of this chapter is to make explicit the fact that controlled processes are important in
human associative learning and to discuss the possible theoretical implications of this fact …