Wisdom - the blurry top of human cognition in the DIKW-model?
- Anett Hoppe, Rudolf Seising, Andreas Nürnberger, Constanze Wenzel
- Corresponding Author
- Anett Hoppe
Available Online August 2011.
- https://doi.org/10.2991/eusflat.2011.91How to use a DOI?
- Wisdom, Knowledge, Information, Data, Fuzziness
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 PB - Atlantis Press SP - 584 EP - 591 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2011.91 DO - https://doi.org/10.2991/eusflat.2011.91 ID - Hoppe2011/08 ER -