TY  - CHAP
A1  - Thim, Christof
A1  - Grum, Marcus
A1  - Schüffler, Arnulf
A1  - Roling, Wiebke
A1  - Kluge, Annette
A1  - Gronau, Norbert
ED  - Andersen, Ann-Louise
ED  - Andersen, Rasmus
ED  - Brunoe, Thomas Ditlev
ED  - Larsen, Maria Stoettrup Schioenning
ED  - Nielsen, Kjeld
ED  - Napoleone, Alessia
ED  - Kjeldgaard, Stefan
T1  - A concept for a distributed Interchangeable knowledge base in CPPS
T2  - Towards sustainable customization: cridging smart products and manufacturing systems
N2  - As AI technology is increasingly used in production systems, different approaches have emerged from highly decentralized small-scale AI at the edge level to centralized, cloud-based services used for higher-order optimizations. Each direction has disadvantages ranging from the lack of computational power at the edge level to the reliance on stable network connections with the centralized approach. Thus, a hybrid approach with centralized and decentralized components that possess specific abilities and interact is preferred. However, the distribution of AI capabilities leads to problems in self-adapting learning systems, as knowledgebases can diverge when no central coordination is present. Edge components will specialize in distinctive patterns (overlearn), which hampers their adaptability for different cases. Therefore, this paper aims to present a concept for a distributed interchangeable knowledge base in CPPS. The approach is based on various AI components and concepts for each participating node. A service-oriented infrastructure allows a decentralized, loosely coupled architecture of the CPPS. By exchanging knowledge bases between nodes, the overall system should become more adaptive, as each node can “forget” their present specialization.
KW  - learning
KW  - distributed knowledge base
KW  - artificial intelligence
KW  - CPPS
Y1  - 2021
SN  - 978-3-030-90699-3
SN  - 978-3-030-90702-0
SN  - 978-3-030-90700-6
U6  - https://doi.org/10.1007/978-3-030-90700-6_35
SP  - 314
EP  - 321
PB  - Springer
CY  - Cham
ER  -