1. Learning of contingent relationships

   • Lorraine G. Allan

   EditorialNotes Pages: 127 - 129

2. Surprise and change: Variations in the strength of present and absent cues in causal learning

   • Edward A. Wasserman
   • Leyre Castro

   OriginalPaper Pages: 131 - 146

3. Simulations of a modified SOP model applied to retrospective revaluation of human causal learning

   • Michael R. F. Aitken
   • Anthony Dickinson

   OriginalPaper Pages: 147 - 159

4. A comparative approach to cue competition with one and two strong predictors

   • Irina Baetu
   • A. G. Baker
   • Robin A. Murphy

   OriginalPaper Pages: 160 - 171

5. Causal and predictive-value judgments, but not predictions, are based on cue-outcome contingency

   • Miguel A. Vadillo
   • Ralph R. Miller
   • Helena Matute

   OriginalPaper Pages: 172 - 183

6. Contrasting predictive and causal values of predictors and of causes

   • Oskar Pineño
   • James C. Denniston
   • Ralph R. Miller

   OriginalPaper Pages: 184 - 196

7. Nonnormative discounting: There is more to cue interaction effects than controlling for alternative causes

   • Kelly M. Goedert
   • Barbara A. Spellman

   OriginalPaper Pages: 197 - 210

8. Competence and performance in causal learning

   • Michael R. Waldmann
   • Jessica M. Walker

   OriginalPaper Pages: 211 - 229

9. Contiguity and covariation in human causal inference

   • Marc J. Buehner

   OriginalPaper Pages: 230 - 238

10. Evidence for the role of higher order reasoning processes in cue competition and other learning phenomena

    • Jan De Houwer
    • Stefaan Vandorpe
    • Tom Beckers

    OriginalPaper Pages: 239 - 249

11. A signal detection analysis of contingency data

    • Lorraine G. Allan
    • Shepard Siegel
    • Jason M. Tangen

    OriginalPaper Pages: 250 - 263