Several contemporary models anticipate that the summation effect is modulated by the similarity between the cues forming a compound. Here, we explore this hypothesis in a series of causal learning experiments. Participants were presented with two visual cues that separately predicted a common outcome and later asked for the outcome predicted by the compound of the two cues. Similarity was varied between groups through changes in shape, spatial position, color, configuration, and rotation. In variance with the predictions of these models, we observed similar and strong levels of summation in both groups across all manipulations of similarity. The effect, however, was significantly reduced by manipulations intended to impact assumptions about...
Tested the hypothesis that the degree to which an observer and model are subject to similar reinforc...
<div><p>(A) A schematic diagram of four stimulus conditions. These examine effects of summed probe-i...
Recent studies suggest that humans can infer the underlying causal model from observing the distribu...
Several contemporary models anticipate that the summation effect is modulated by the similarity betw...
Several contemporary models of associative learning anticipate that the higher responding to a compo...
In three experiments human participants received training in a causal judgement task. After learning...
Theories of generalization distinguish between elemental and configural stimulus processing, dependi...
The question of What makes things seem similar? is important both because of similarity's pivotal ro...
Category-based feature generalisations are affected by similarity relationships between objects and ...
Category-based feature generalisations are affected by similarity relationships between objects and ...
How do we apply learning from one situation to a similar, but not identical, situation? The principl...
© 2018 American Psychological Association. In four experiments, participants' performance on a varie...
Additivity-related assumptions have been proven to modulate blocking in human causal learning. Typic...
A hallmark feature of elemental associative learning theories is that multiple cues compete for asso...
Several kinds of visual causal impressions occur when people observe stimuli involving objects in mo...
Tested the hypothesis that the degree to which an observer and model are subject to similar reinforc...
<div><p>(A) A schematic diagram of four stimulus conditions. These examine effects of summed probe-i...
Recent studies suggest that humans can infer the underlying causal model from observing the distribu...
Several contemporary models anticipate that the summation effect is modulated by the similarity betw...
Several contemporary models of associative learning anticipate that the higher responding to a compo...
In three experiments human participants received training in a causal judgement task. After learning...
Theories of generalization distinguish between elemental and configural stimulus processing, dependi...
The question of What makes things seem similar? is important both because of similarity's pivotal ro...
Category-based feature generalisations are affected by similarity relationships between objects and ...
Category-based feature generalisations are affected by similarity relationships between objects and ...
How do we apply learning from one situation to a similar, but not identical, situation? The principl...
© 2018 American Psychological Association. In four experiments, participants' performance on a varie...
Additivity-related assumptions have been proven to modulate blocking in human causal learning. Typic...
A hallmark feature of elemental associative learning theories is that multiple cues compete for asso...
Several kinds of visual causal impressions occur when people observe stimuli involving objects in mo...
Tested the hypothesis that the degree to which an observer and model are subject to similar reinforc...
<div><p>(A) A schematic diagram of four stimulus conditions. These examine effects of summed probe-i...
Recent studies suggest that humans can infer the underlying causal model from observing the distribu...