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title:
 
Wisdom - the blurry top of human cognition in the DIKW-model?
publication:
 
EUSFLAT
part of series:
  Advances in Intelligent Systems Research
pages:   584 - 591
DOI:
  To be assigned soon (how to use a DOI)
author(s):
 
Anett Hoppe, Rudolf Seising, Andreas Nščrnberger, Constanze Wenzel
publication date:
 
July 2011
keywords:
 
Wisdom, Knowledge, Information, Data, Fuzziness
abstract:
 
Wisdom is an ancient concept, that experiences a renaissance since the last century throughout several scientific communities. In each of them it is interpreted in rather different ways - from a key ability to succesful aging to a human peak perfomance transcending mere knowledge. As a result, miscellaneous definitions and models exist. There is for instance the DIKW-hierarchy that tempts to integrate the concept of wisdom into information science, still without providing a proper definition. The work at hand tries to sum up current approaches (out of computer science as well as others) with a focus on their usefulness for the positioning of wisdom atop the DIKW-model and the actual usefulness of the term for information science. At the end, with our characterization of wisdom as a fluctuating concept, we propose fuzzy sets to model wisdom as a scientific concept.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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