Information Sampling and Adaptive Cognition

Part I. Introduction: 1. Taking the interface between mind and environment seriously Klaus Fiedler and Peter Juslin; Part II. The Psychological Law of Large Number: 2. Good sampling, distorted views: the perception of variability Yakoov Kareev; 3. Intuitive judgments about sample size Peter Sedlmeier; 4. Risky prospects: when valued through a window of sampled experiences Ralph Hertwig, Greg Barron, Elke Weber and Ido Erev; 5. Less is more in contingency assessment - or is it? Peter Juslin, Klaus Fiedler and Nick Chater; Part III. Biased and Unbiased Judgments from Biased Samples: 6. Subjective validity judgments as an index of sensitivity to sampling bias Peter Freytag and Klaus Fiedler; 7. An analysis of structural availability biases and a brief study Robyn Dawes; 8. Subjective confidence and the sampling of knowledge Joshua Klayman, Jack Soll, Peter Juslin, and Anders Winman; 9. Contingency learning and biased group impressions Thorsten Meiser; 10. Mental mechanisms: speculations on human causal learning and reasoning Nick Chater and Mike Oaksford; Part IV. What Information Contents Are Sampled?: 11. What's in a sample? A manual for building cognitive theories Gerd Gigerenzer; 12. Assessing evidential support in an uncertain environment Chris M. White and Derek Koehler; 13. Information sampling in group decision making: sampling biases and their consequences Andreas Mojzisch and Stefan Schulz-Hardt; 14. Confidence in aggregation of opinions from multiple sources David Budescu, Adrian K. Rantilla, Tzur M. Kareliz and Hsiu Ting Yu; 15. Self as a sample Joachim Krueger, Melissa Acevedo and Jordan Robbins; Part V. Vicissitudes of Sampling in the Researcher's Mind and Method: 16. Which world should be represented in representative design? Ulrich Hoffrage and Ralph Hertwig; 17. 'I'm m/n confident that I'm correct': confidence in foresight and hindsight as a sampling probability Anders Winman and Peter Juslin; 18. Natural sampling of stimuli in (artificial) grammar