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Two experiments were conducted to test the effect of experiencing associative interference on later learning. A predictive learning task was used in which human participants had to evaluate whether plants would grow or not (Outcome) after being watered with different fertilizers (Cues). Experiment 1 found that the increase in the prediction error produced by following a pre-exposed nontarget cue by the outcome, facilitated subsequent acquisition of the relationship between the pre-exposed target cue and the outcome. Experiment 2 compared whether learning about the target cue was differentially affected by experiencing two types of associative interference with the nontarget cue: Pairing the pre-exposed cue with the outcome and presenting the cue without outcome after being paired with it. The experience of associative interference with nontarget cues similarly facilitated subsequent learning about the target cue, regardless of the direction of the change in the nontarget cue-outcome relationship. It is suggested that the increase in prediction error produced by the experience of associative interference may lead to a general increase in attention that facilitates subsequent learning.

In one human predictive learning experiment, we demonstrated that an individual’s propensity for response recovery following discrimination reversal learning is stable over time. Participants received four sessions of training with the first three sessions being separated by one week each, while the last session was conducted after a delay of four weeks. During each session, participants initially received discrimination training (E+, F-) in one context, followed by discrimination reversal training (E-, F+) in another context. Sessions each completed with a test, in which the stimuli were presented in the context of initial acquisition. Each test revealed response recovery according to the initially acquired stimulus-outcome contingencies. Furthermore, the strength of response recovery was correlated across sessions that were separated by one week (Sessions 1 and 2), and across sessions separated by four weeks (Sessions 3 and 4). Overall, intra-individual test behavior was stable in 87 % of participants across two sessions, and in 79 % of participants across four sessions. Our results indicate that inter-individual differences in response recovery are a reliable phenomenon, which is a finding that is not accounted by current theories of context-dependent learning.

One experiment evaluated the effect of extinction on the context dependence of non-extinguished information in a situation in which physical (images), rather than predominantly verbal, contexts were used in human predictive learning. Participants received training in which different foods (Cues) were associated with the presence or the absence of gastric illness (outcome) in customers of different restaurants (contexts). One cue was associated with the gastric illness while a different cue was either extinguished or not between groups. A change in the context at test led to a general decrease in both predictive judgments and the speed of responding to the non-extinguished cue. However, these decreases were greater when training was conducted during extinction of the different cue demonstrating the extinction makes acquisition context-specific (EMACS) effect. Results are contrasted with failures to find the effect in other reports and discussed in terms of extinction leading to an allocation of attentional resources to the context, facilitating the context dependence of information.

In two human predictive learning experiments, we investigated the impact of adding or removing context components on extinction performance toward a cue. In each experiment, participants initially received repeated pairings of a cue and an outcome in a context composed of two distinctive components (context AB). Initial training was followed by a series of trials in which the cue was no longer followed by the outcome. This extinction treatment was conducted in the presence of a different pair of distinctive context components (context CD). During a final test, we observed that changing the extinction context CD disrupted extinction performance toward the cue regardless of whether the context was changed by adding or removing context components. We discuss implications of our results for theories of associative learning.

One experiment in human predictive learning explored the impact of a context change on attention to contexts and predictive ratings controlled by the cue. In Context A: cue X was paired with an outcome four times, while cue Y was presented without an outcome four times in Context B:. In both contexts filler cues were presented without the outcome. During the test, target cues X and Y were presented either in the context where they were trained, or in the alternative context. With the context change expectation of the outcome X, expressed as predictive ratings, decreased in the presence of X and increased in the presence of Y. Looking at the contexts, expressed as a percentage of the overall gaze dwell time on a trial, was high across the four training trials, and increased with the context change. Results suggest that the presentation of unexpected information leads to increases in attention to contextual cues. Implications for contextual control of behavior are discussed.

Three experiments tested the effect of experiencing extinction on learning about a differential conditioned inhibitor that was trained as an excitor. A human predictive learning task was used in which participants had to evaluate the probability of different colored fertilizers (Cues) leading plants to flourish or not (Outcome). Experiment 1 found that presenting the target cue without outcome while other cues were followed by the outcome made the target cue a conditioned inhibitor, passing both, retardation (Experiment 1a) and summation (Experiment 1b) tests of conditioned inhibition. Subsequent extinction of a different cue facilitated reversing the relationship between the conditioned inhibitor and the outcome regardless of whether the situation could be solved by using simple rules (Experiment 2) or not (Experiment 3). Results are discussed in terms of attentional theories that suggest extinction produces a nonspecific increase in attention that facilitates learning.

Participants were trained in a human predictive learning task in which they had to predict whether the ingestion of a given food (cue) by the imaginary customer of an imaginary restaurant (context) was followed by gastric malaise (outcome). One food was always followed by gastric malaise in one of the contexts, while other foods were not followed by gastric malaise in the same, or in an alternative context. Predictive responses and eye-fixations were recorded throughout the 48 training trials with each cue involved in the task. In agreement with the predictions of the Attentional Theory of Context Processing, attention to the contexts measured through eye-fixations decreased while attention to the cues increased as training progressed. The results of this study give support to the idea that contexts are actively processed at the beginning of acquisition, and that this processing decreases as training increases.

The present study aimed to replicate an associative learning effect, overshadowing, both in the traditional laboratory conditions and over the internet. The experimental task required participants to predict an outcome based on the presence of several cues. When a cue that was always trained together with a second cue was presented on isolation at test, the expectancy of the outcome was impaired, which revealed overshadowing. This experimental task was performed by undergraduate students (N=106) in the laboratory and by a different set of anonymous participants over the internet (N=91). Similar levels of overshadowing were obtained in both locations. These similarities show that web-delivered experiments can be used as a complement of traditional experiments.

Item does not contain fulltext Four experiments with human subjects examined the cue-interaction effects using a computer-controlled predictive learning task. In Phase 1, subjects learned that cue P was consistently associated with the occurrence of an outcome (P+), whereas cue N was never followed by the outcome (N - ). In Phase 2, two neutral cues, R and I, were compounded with P and N, respectively. Each compound was followed by the outcome (PR + and NI + ). Thus, cue R was compounded with the already predictive cue P, whereas cue I was compounded with the non-predictive cue N. In each phase, subjects rated the contingency between the different cues and the outcome. In experiments 1 and 2, the spatial position of the cues was fixed, whereas it was variable in experiments 3, 4a and 4b. Verbal cues were used in experiments 1-3, whereas the cues consisted of geometrical figures in experiments 4a and 4b. Evidence for cue interaction, as indicated by giving cue I a higher contingency rating than cue R after or during Phase 2, was only found under the conditions of experiments 1 and 2. The results indicate that the use of positional cues facilites the occurence of cue-interaction effects. Possible reasons for this finding are discussed.