Artificial Intelligence for Decision Making (original) (raw)

Abstract

Artificial Intelligence techniques are increasingly extending and enriching decision support through such means as coordinating data delivery, analyzing data trends, providing forecasts, developing data consistency, quantifying uncertainty, anticipating the user’s data needs, providing information to the user in the most appropriate forms, and suggesting courses of action. This session of the 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems focuses on the use of Artificial Intelligence to enhance decision making.

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Authors and Affiliations

  1. Loyola College in Maryland, 4501 N. Charles Street, Baltimore, MD, 21210, USA
    Gloria Phillips-Wren
  2. School of Electrical and Information Engineering, KES Centre, University of South Australia, Adelaide, Mawson Lakes Campus, South Australia, SA 5095
    Lakhmi Jain

Authors

  1. Gloria Phillips-Wren
  2. Lakhmi Jain

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK
    Bogdan Gabrys
  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK
    Robert J. Howlett
  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia
    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Phillips-Wren, G., Jain, L. (2006). Artificial Intelligence for Decision Making. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004\_69

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