Chapter 10. Naive and Yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees

  1. Dr David Hardman5 and
  2. Professor Laura Macchi6
  1. Dr Laura Martignon1,
  2. Professor Oliver Vitouch2,
  3. Dr Masanori Takezawa3 and
  4. Professor Malcolm R. Forster4

Published Online: 28 JAN 2005

DOI: 10.1002/047001332X.ch10

Thinking: Psychological Perspectives on Reasoning, Judgment and Decision Making

Thinking: Psychological Perspectives on Reasoning, Judgment and Decision Making

How to Cite

Martignon, L., Vitouch, O., Takezawa, M. and Forster, M. R. (2003) Naive and Yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees, in Thinking: Psychological Perspectives on Reasoning, Judgment and Decision Making (eds D. Hardman and L. Macchi), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/047001332X.ch10

Editor Information

  1. 5

    Department of Psychology, London Metropolitan University, Calcutta House, Old Castle Street, London E1 7NT, UK

  2. 6

    Facoltà e Dipartimento di Psicologia, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milan, Italy

Author Information

  1. 1

    Fachbereich 17, Mathematik und Informatik, Universität Kassel, Postfach 101380, D-34109 Kassel, Germany

  2. 2

    Department of Psychology, University of Klagenfurt, Universitätsstrasse 65-67, A-9020 Klagenfurt, Austria

  3. 3

    Max Planck Institute for Human Development, Center for Adaptive Behavior and Cognition, Lentzeallee 94, 14195 Berlin, Germany

  4. 4

    Department of Philosophy, University of Wisconsin-Madison, Madison, WI 53706, USA

Publication History

  1. Published Online: 28 JAN 2005
  2. Published Print: 16 SEP 2003

ISBN Information

Print ISBN: 9780471494577

Online ISBN: 9780470013328

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Keywords:

  • enlightened rational human inference;
  • natural frequency trees;
  • radical pruning

Summary

This chapter contains sections titled:

  • Introduction

  • Tree-structured Representations in Classification Tasks

  • Fast and Frugal Trees

  • Performance of Fast and Frugal Decision Trees

  • The Price of Being Naive

  • Conclusion

  • References