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Information Sampling and Adaptive Cognition [Mīkstie vāki]

Edited by (Ruprecht-Karls-Universität Heidelberg, Germany), Edited by (Umeå Universitet, Sweden)
  • Formāts: Paperback / softback, 498 pages, height x width x depth: 229x152x25 mm, weight: 660 g, 38 Tables, unspecified; 61 Line drawings, unspecified
  • Izdošanas datums: 05-Dec-2005
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 0521539331
  • ISBN-13: 9780521539333
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  • Mīkstie vāki
  • Cena: 52,11 €
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  • Formāts: Paperback / softback, 498 pages, height x width x depth: 229x152x25 mm, weight: 660 g, 38 Tables, unspecified; 61 Line drawings, unspecified
  • Izdošanas datums: 05-Dec-2005
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 0521539331
  • ISBN-13: 9780521539333
Citas grāmatas par šo tēmu:
A 'sample' is not only a concept from statistics that has penetrated common sense but also a metaphor that has inspired much research and theorizing in current psychology. The sampling approach emphasizes the selectivity and the biases that are inherent in the samples of information input with which judges and decision makers are fed. As environmental samples are rarely random, or representative of the world as a whole, decision making calls for censorship and critical evaluation of the data given. However, even the most intelligent decision makers tend to behave like 'näive intuitive statisticians': quite sensitive to the data given but uncritical concerning the source of the data. Thus, the vicissitudes of sampling information in the environment together with the failure to monitor and control sampling effects adequately provide a key to re-interpreting findings obtained in the last two decades of research on judgment and decision making.

Papildus informācija

This book proposes that environmental information samples are biased and cognitive processes are not.
List of Contributors
vii
PART I INTRODUCTION
Taking the Interface between Mind and Environment Seriously
3(30)
Klaus Fiedler
Peter Juslin
PART II THE PSYCHOLOGICAL LAW OF LARGE NUMBERS
Good Sampling, Distorted Views: The Perception of Variability
33(20)
Yaakov Kareev
Intuitive Judgments about Sample Size
53(19)
Peter Sedlmeier
The Role of Information Sampling in Risky Choice
72(20)
Ralph Hertwig
Greg Barron
Elke U. Weber
Ido Erev
Less Is More in Covariation Detection -- Or Is It?
92(35)
Peter Juslin
Klaus Fiedler
Nick Chater
PART III BIASED AND UNBIASED JUDGMENTS FROM BIASED SAMPLES
Subjective Validity Judgments as an Index of Sensitivity to Sampling Bias
127(20)
Peter Freytag
Klaus Fiedler
An Analysis of Structural Availability Biases, and a Brief Study
147(6)
Robyn M. Dawes
Subjective Confidence and the Sampling of Knowledge
153(30)
Joshua Klayman
Jack B. Soll
Peter Juslin
Anders Winman
Contingency Learning and Biased Group Impressions
183(27)
Thorsten Meiser
Mental Mechanisms: Speculations on Human Causal Learning and Reasoning
210(29)
Nick Chater
Mike Oaksford
PART IV WHAT INFORMATION CONTENTS ARE SAMPLED?
What's in a Sample? A Manual for Building Cognitive Theories
239(22)
Gerd Gigerenzer
Assessing Evidential Support in Uncertain Environments
261(38)
Chris M. White
Derek J. Koehler
Information Sampling in Group Decision Making: Sampling Biases and Their Consequences
299(28)
Andreas Mojzisch
Stefan Schulz-Hardt
Confidence in Aggregation of Opinions from Multiple Sources
327(26)
David V. Budescu
Self as Sample
353(28)
Joachim I. Krueger
Melissa Acevedo
Jordan M. Robbins
PART V VICISSITUDES OF SAMPLING IN THE RESEARCHER'S MIND AND METHOD
Which World Should Be Represented in Representative Design?
381(28)
Ulrich Hoffrage
Ralph Hertwig
``I'm m/n Confident That I'm Correct'': Confidence in Foresight and Hindsight as a Sampling Probability
409(31)
Anders Winman
Peter Juslin
Natural Sampling of Stimuli in (Artificial) Grammar Learning
440(16)
Fenna H. Poletiek
Is Confidence in Decisions Related to Feedback? Evidence from Random Samples of Real-World Behavior
456(29)
Robin M. Hogarth
Index 485


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.