title: Cue interaction and judgments of causality: contributions of causal and associative processes.
abstract: In four experiments, the predictions made by causal model theory and the Rescorla-Wagner model were tested by using a cue interaction paradigm that measures the relative response to a given event based on the influence or salience of an alternative event. Experiments 1 and 2 uncorrelated two variables that have typically been confounded in the literature (causal order and the number of cues and outcomes) and demonstrated that overall contingency judgments are influenced by the causal structure of the events. Experiment 3 showed that trial-by-trial prediction responses, a second measure of causal assessment, were not influenced by the causal structure of the described events. Experiment 4 revealed that participants became less sensitive to the influence of the causal structure in both their ratings and their predictions as trials progressed. Thus, two experiments provided evidence for high-level (causal reasoning) processes, and two experiments provided evidence for low-level (associative) processes. We argue that both factors influence causal assessment, depending on what is being asked about the events and participants' experience with those events.
authors.affiliation: Department of Psychology, McMaster University, Hamilton, ON L8S 4K1, Canada. tangenjm@mcmaster.ca
authors.forename: Jason M
authors.initials: JM
authors.lastname: Tangen
authors.forename: Lorraine G
authors.initials: LG
authors.lastname: Allan
mesh_terms: D001245:Association Learning; D015984:Causality; D003198:Computer Simulation; D003463:Cues; D004193:Discrimination Learning; D006801:Humans; D007600:Judgment; D015233:Models, Statistical; D011337:Probability Learning; D011340:Problem Solving; D011582:Psychological Theory; D012718:Set, Psychology