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Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support

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Book cover Intelligent Decision Making: An AI-Based Approach

Part of the book series: Studies in Computational Intelligence ((SCI,volume 97))

As researchers try to accumulate knowledge in artificial intelligence (AI), towards developing better models and artefacts to embody complex decision making processes based on the characteristics of human decision making, we are reminded that at the beginning of this whole endeavour our intellectual ancestors – Newell and Simon (1972) for instance, had warned that a comprehensive understanding of human decision making would be required if AI was to yield substantial benefits. In wondering whether this has been achieved, we trace back the accumulated knowledge in the area of human decision making from the work of Savage through to that of Simon and we critically assess whether we have reached the required critical mass in our understanding of human decisions. Such knowledge development is a requisite benchmark to measure the progress of research in artificial intelligence, as illustrated by the other chapters in this book.

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Author information

Authors and Affiliations

  1. Laboratoire d'Informatique de Paris, Université Pierre et Marie Curie, 75252, Paris, France

    Jean-Charles Pomerol

  2. Business Information Systems, University College Cork, Cork, Ireland

    Frederic Adam

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  1. Jean-Charles Pomerol
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  2. Frederic Adam
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Editors and Affiliations

  1. Loyola College in Maryland, 4501 N. Charles Street, 21210, Baltimore, MD, USA

    Gloria Phillips-Wren

  2. University of South Australia, SA 5095, Adelaide, Australia

    Nikhil Ichalkaranje  & Lakhmi C. Jain  & 

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© 2008 Springer-Verlag Berlin Heidelberg

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Pomerol, JC., Adam, F. (2008). Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support. In: Phillips-Wren, G., Ichalkaranje, N., Jain, L.C. (eds) Intelligent Decision Making: An AI-Based Approach. Studies in Computational Intelligence, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76829-6_1

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  • DOI: https://doi.org/10.1007/978-3-540-76829-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76828-9

  • Online ISBN: 978-3-540-76829-6

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