Wisdom - the blurry top of human cognition in the DIKW-model?

DOI

10.2991/eusflat.2011.91How to use a DOI?

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

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anett Hoppe
AU  - Rudolf Seising
AU  - Andreas Nürnberger
AU  - Constanze Wenzel
PY  - 2011/08
DA  - 2011/08
TI  - Wisdom - the blurry top of human cognition in the DIKW-model?
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 584
EP  - 591
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.91
DO  - 10.2991/eusflat.2011.91
ID  - Hoppe2011/08
ER  -