Human Contingency Learning: Recent Trends in Research and Theory

Tom Beckers, Jan De Houwer, Helena Matute

T. Beckers, J. De Houwer, H. Matute, Editorial: Human Contingency Learning. D. R. Shanks, Associationism and Cognition: Human Contingency Learning at 25. O. Pineño, R. R. Miller, Comparing Associative, Statistical, and Inferential Reasoning Accounts Of Human Contingency Learning. Y. Hagmayer, M. R. Waldmann, Inferences About Unobserved Causes in Human Contingency Learning. S. Vandorpe, J. De Houwer, T. Beckers, Outcome Maximality and Additivity Training Also Influence Cue Competition in Causal Learning When Learning Involves Many Cues and Events. P. L. Cobos, F. J. López, D. Luque, Interference Between Cues of the Same Outcome Depends on the Causal Interpretation of the Events. S. L. Booth, M. J. Buehner, Asymmetries in Cue Competition in Forward and Backward Blocking Designs: Further Evidence for Causal Model Theory. C. J. Mitchell, E. Livesey, P. F. Lovibond, A Dissociation Between Causal Judgement and the Ease With Which a Cause is Categorised With its Effect. J. De Houwer, S. Vandorpe, T. Beckers, Statistical Contingency has a Different Impact on Preparation Judgements Than on Causal Judgements. M. A. Vadillo, H. Matute, Predictions and Causal Estimations are not Supported by the Same Associative Structure. D. M. Karazinov, R. A. Boakes, Second Order Conditioning in Human Predictive Judgements When There is Little Time to Think. R. M. Msetfi, R. A. Murphy, J. Simpson, Depressive Realism and the Effect of Inter-trial-interval on Judgements of Zero, Positive and Negative Contingencies. L. G. Allan, S. Siegel, S. Hannah, The Sad Truth About Depressive Realism.