title: |
Wisdom - the blurry top of human cognition in the DIKW-model? |
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publication: |
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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 |
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publication date: |
July 2011 |
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keywords: |
Wisdom, Knowledge, Information,
Data, Fuzziness |
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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. |
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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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full text: |