Chapter 21. Using Machine Foreknowledge to Enhance Human Cognition

  1. Dr Olivier Pourret2,
  2. Patrick Naim3 and
  3. Dr Bruce Marcot4
  1. Philippe Baumard Professor

Published Online: 19 MAR 2008

DOI: 10.1002/9780470994559.ch21

Bayesian Networks: A Practical Guide to Applications

Bayesian Networks: A Practical Guide to Applications

How to Cite

Baumard, P. (2008) Using Machine Foreknowledge to Enhance Human Cognition, in Bayesian Networks: A Practical Guide to Applications (eds O. Pourret, P. Naim and B. Marcot), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470994559.ch21

Editor Information

  1. 2

    Electricité de France, 20 Place de la Défense, 92050, Paris la Défense, France

  2. 3

    Elseware, 26–28 rue Danielle Casanova, 75002 Paris, France

  3. 4

    USDA Forest Service, USA

Author Information

  1. University Paul Cézanne, France, IMPGT 21, rue Gaston Saporta, 13100 Aix-en-Provence, France

Publication History

  1. Published Online: 19 MAR 2008
  2. Published Print: 14 MAR 2008

ISBN Information

Print ISBN: 9780470060308

Online ISBN: 9780470994559

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Keywords:

  • foreknowledge and human cognition;
  • imperfect discovery process;
  • ‘human thinking system’;
  • Bayesian-based filtering systems;
  • enhancing human cognition;
  • mutuality of communication intensity;
  • theory of ‘organization mind’ obstacle;
  • human communication behavior

Summary

This chapter contains sections titled:

  • Introduction

  • Human foreknowledge in everyday settings

  • Machine foreknowledge

  • Current application and future research needs

  • Conclusion