Siegel, Allan, Hannah, and Crump (2009) demonstrated that cue interaction effects in human contingency judgments reflect processing that occurs after the acquisition of information. This finding is in conflict with a broad class of theories. We present a new postacquisition model, the criterion-calibration model, that describes cue interaction effects as involving shifts in a report criterion. The model accounts for the Siegel et al. data and outperforms the only other postacquisition model of cue interaction, Stout and Miller's (2007) SOCR model. We present new data from an experiment designed to evaluate a prediction of the two models regarding reciprocal cue interaction effects. The new data provide further support for the criterion-cali...
When two possible causes of an outcome are under consideration, contingency information concerns eac...
"Blocking" refers to judgments of a moderate contingency being lowered when contrasted with a strong...
Recent studies suggest that humans can infer the underlying causal model from observing the distribu...
In judging the extent to which a cue causes an outcome, judgement can be affected by information abo...
A contingency judgment entails an evaluation of the predictive relation between a cue and an outcome...
Many theories of contingency learning assume (either explicitly or implicitly) that predicting wheth...
In four experiments, the predictions made by causal model theory and the Rescorla-Wagner model were ...
The authors previously described a procedure that permits rapid, multiple within-participant assessm...
Two types of model may account for how people learn and make judgments about contingent relationship...
Individuals sometimes repeatedly perform a judgment task using a given set of cues. Then one or more...
Interference between cues (IbC) is a phenomenon in which associat- ing a cue with an outcome interf...
It is well established that two predictor cues ( A and B ) of a common outcome interact in that the ...
In two experiments participants judged the extent to which occurrences and non-occurrences of an eff...
Participants saw a series of situations in which a cue (a light appearing at a certain position) cou...
Evaluative conditioning (EC) is concerned with the transfer of valence from an unconditioned stimulu...
When two possible causes of an outcome are under consideration, contingency information concerns eac...
"Blocking" refers to judgments of a moderate contingency being lowered when contrasted with a strong...
Recent studies suggest that humans can infer the underlying causal model from observing the distribu...
In judging the extent to which a cue causes an outcome, judgement can be affected by information abo...
A contingency judgment entails an evaluation of the predictive relation between a cue and an outcome...
Many theories of contingency learning assume (either explicitly or implicitly) that predicting wheth...
In four experiments, the predictions made by causal model theory and the Rescorla-Wagner model were ...
The authors previously described a procedure that permits rapid, multiple within-participant assessm...
Two types of model may account for how people learn and make judgments about contingent relationship...
Individuals sometimes repeatedly perform a judgment task using a given set of cues. Then one or more...
Interference between cues (IbC) is a phenomenon in which associat- ing a cue with an outcome interf...
It is well established that two predictor cues ( A and B ) of a common outcome interact in that the ...
In two experiments participants judged the extent to which occurrences and non-occurrences of an eff...
Participants saw a series of situations in which a cue (a light appearing at a certain position) cou...
Evaluative conditioning (EC) is concerned with the transfer of valence from an unconditioned stimulu...
When two possible causes of an outcome are under consideration, contingency information concerns eac...
"Blocking" refers to judgments of a moderate contingency being lowered when contrasted with a strong...
Recent studies suggest that humans can infer the underlying causal model from observing the distribu...