Beiträge in Tagungsbänden:
A. Wendt, S. Kollmann, A. Bratukhin, A. Estaji, T. Sauter, A. Jantsch:
"Cognitive Architectures for Process Monitoring - an Analysis";
in: "2020 IEEE 18th International Conference on Industrial Informatics (INDIN)",
IEEE Industrial Electronics Society,
United Kingdom (Online),
2020,
ISBN: 978-1-7281-4963-9,
S. 167
- 173.
Kurzfassung englisch:
In smart manufacturing, the demand increases to be able to monitor and adjust process execution during production. It has led to a shift towards distributed, modular automation. A solution seems to be to use a cognitive architecture. It turns out that their generality often makes them unsuitable for specific industrial problems. In this paper, we propose a cognition-inspired architecture design for health monitoring tasks. The problem class is represented by a conveyor belt use case. We then discuss to what extent this architecture matches common implementations of cognitive
theories by following a generalized cognitive process.
Schlagworte:
cognitive manufacturing, cognitive architecture, cyber-physical system, distributed system, multi-agent systems
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.