Information Sampling and Adaptive Cognition

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Juni 2014



Even the most intelligent and informed judges and decision makers have been shown to be prone to errors and biases with potentially serious consequences. Previous scientific attempts to explain the causes of wrong decisions have mainly focused on shortcomings in the cognitive processing of the information given. The recent research reviewed in the present volume offers an intriguing alternative for consideration. Although the input of environmental information samples may be biased, the cognitive processing of information samples is often unbiased and remarkably accurate.


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 learning Fenna Poletiek; 19. Is confidence in decisions related to feedback? Evidence - lack of evidence - from random samples of real-world behavior Robin Hogarth.


Klaus Fiedler is Professor of Psychology at University of Heidelberg in Germany. Among his main research interests are cognitive social psychology, language and communication, social memory, inductive cognitive processes in judgment and decision making, and computer modeling of the human mind. Professor Fiedler was the winner of the 2000 Leibniz Award. Peter Juslin is Professor of Psychology at Uppsala University in Sweden. He received the Brunswik New Scientist Award in 1994 and the Oscar's Award at Uppsala University in 1996 for young distinguished scientists. He has published a large number of scientific papers in many journals including many articles in the main APA-journals such as Psychology Review.

EAN: 9780521831598
ISBN: 0521831598
Untertitel: Sprache: Englisch.
Erscheinungsdatum: Juni 2014
Seitenanzahl: 488 Seiten
Format: gebunden
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