Intuition in judgment and decision making

Bibliographic Information

Intuition in judgment and decision making

edited by Henning Plessner, Cornelia Betsch, Tilmann Betsch

Lawrence Erlbaum Associates, c2008

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

The central goal of this volume is to bring the learning perspective into the discussion of intuition in judgment and decision making. The book gathers recent work on intuitive decision making that goes beyond the current dominant heuristic processing perspective. However, that does not mean that the book will strictly oppose this perspective. The unique perspective of this book will help to tie together these different conceptualizations of intuition and develop an integrative approach to the psychological understanding of intuition in judgment and decision making. Accordingly, some of the chapters reflect prior research from the heuristic processing perspective in the new light of the learning perspective. This book provides a representative overview of what we currently know about intuition in judgment and decision making. The authors provide latest theoretical developments, integrative frameworks and state-of-the-art reviews of research in the laboratory and in the field. Moreover, some chapters deal with applied topics. Intuition in Judgment and Decision Making aims not only at the interest of students and researchers of psychology, but also at scholars from neighboring social and behavioral sciences such as economy, sociology, political sciences, and neurosciences.

Table of Contents

H. Plessner, C. Betsch, T. Betsch, Preface. Part 1: The Nature of Intuition. T. Betsch, The Nature of Intuition and Its Neglect in Research on Judgment and Decision Making. S. Epstein, Intuition From the Perspective of Cognitive-Experiential Self-Theory. R. Deutsch, F. Strack, Variants of Judgment and Decision-Making: The Perspective of the Reflective-Impulsive Model. R.M. Hamm, Cue by Hypothesis Interactions in Descriptive Modeling of Unconscious Use of Multiple Intuitve Judgment Strategies. K.G. Volz, D. Yves von Cramron, Can Neuroscience Tell a Story About Intuition? Part 2: Learning and Intuition. R.M. Hogarth, On the Learning of Intuition. H. Plessner, T. Betsch, E. Schallies, C. Schwieren, Automatic Online-Formation of Implicit Attitudes Towards Politicians as a Basis for Intuitive Voting Behavior. M. Raab, J.G. Johnson, Implicit Learning as a Means to Intuitive Decision Making in Sports. I. Erev, D. Shimonowitch, A. Schurr, R. Hertwig, Base Rates: How to Make the Intuitive Mind Appreciate or Neglect Them. K. Fiedler, Y. Kareev, Implications and Ramifications of a Sample-Size Approach to Intuition. Part 3: Emotion and Intuition. M. Zeelenberg, R. Nelissen, R. Pieters, Emotion, Motivation, and Decision Making: A Feeling-Is-for-Doing Approach. E.U. Weber, P. Lindemann, From Intuition to Analysis: Making Decisions With Your Head, Your Heart, or by the Book. J. Haidt, S. Kesebir, In the Forest of Value: Why Moral Intuitions Are Different From Other Kinds. C. Betsch, Chronic Preferences for Intuition and Deliberation in Decision Making: Lessons Learned About Intuition From an Individual Differences Approach. Part 4: The Assets and Deficits of Intuition. H. Plessner, S. Czenna, The Benefits of Intuition. S. Haberstroh, Intuitive and Deliberate Strategies in Frequency Estimation. C. Unkelbach, H. Plessner, The Sampling Trap of Intuitive Judgments: Can Reflection Reach Beyond Sampling Constraints? S. Catty, J. Halberstadt, The Use and Disruption of Familiarity in Intuitive Judgments. A. Gloeckner, Does Intuition Beat Fast and Frugal Heuristics? A Systematic Empirical Analysis.

by "Nielsen BookData"

Details
  • NCID
    BA84287707
  • ISBN
    • 9780805857412
  • LCCN
    2006033206
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York
  • Pages/Volumes
    xix, 335p.
  • Size
    24cm
  • Classification
  • Subject Headings
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