Towards self-X cognitive manufacturing network: an industrial knowledge graph-based multi-agent reinforcement learning approach
Empowered by the advanced cognitive computing, industrial Internet-of-Things, and data analytics techniques, today's smart manufacturing systems are ever-increasingly equipped with cognitive capabilities, towards an emerging Self-X cognitive manufacturing network with higher level of automation...
Saved in:
Main Authors: | Zheng, Pai, Xia, Liqiao, Li, Chengxi, Li, Xinyu, Liu, Bufan |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161691 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A graph-based requirement elicitation approach in the context of smart product-service systems
by: Wang, Zuoxu, et al.
Published: (2020) -
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing
by: Liu, Bufan, et al.
Published: (2024) -
Timespan-aware dynamic knowledge graph embedding by incorporating temporal evolution
by: Tang, Xiaoli, et al.
Published: (2021) -
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference
by: Yixin Cao, et al.
Published: (2020) -
KGAT: Knowledge Graph Attention Network for Recommendation
by: Xiang Wang, et al.
Published: (2020)