TY  - CHAP
A1  - Grum, Marcus
A2  - Shishkov, Boris
T1  - Managing human and artificial knowledge bearers
T2  - Business modeling and software design : 10th International Symposium, BMSD 2020, Berlin, Germany, July 6-8, 2020, Proceedings
N2  - As part of the digitization, the role of artificial systems as new actors in knowledge-intensive processes requires to recognize them as a new form of knowledge bearers side by side with traditional knowledge bearers, such as individuals, groups, organizations. By now, artificial intelligence (AI) methods were used in knowledge management (KM) for knowledge discovery, for the reinterpreting of information, and recent works focus on the studying of different AI technologies implementation for knowledge management, like big data, ontology-based methods and intelligent agents [1]. However, a lack of holistic management approach is present, that considers artificial systems as knowledge bearers. The paper therefore designs a new kind of KM approach, that integrates the technical level of knowledge and manifests as Neuronal KM (NKM). Superimposing traditional KM approaches with the NKM, the Symbiotic Knowledge Management (SKM) is conceptualized furthermore, so that human as well as artificial kinds of knowledge bearers can be managed as symbiosis. First use cases demonstrate the new KM, NKM and SKM approaches in a proof-of-concept and exemplify their differences.
KW  - knowledge management
KW  - artificial intelligence
KW  - neuronal systems
KW  - design of knowledge-driven systems
KW  - symbiotic system design
Y1  - 2020
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/60555
SN  - 978-3-030-52305-3
SN  - 978-3-030-52306-0
SP  - 182
EP  - 201
PB  - Springer International Publishing AG
CY  - Cham
ER  -