---
_id: '4518'
abstract:
- lang: eng
text: This paper introduces CAAI, a novel cognitive architecture for artificial
intelligence in cyber-physical production systems. The goal of the architecture
is to reduce the implementation effort for the usage of artificial intelligence
algorithms. The core of the CAAI is a cognitive module that processes the user's
declarative goals, selects suitable models and algorithms, and creates a configuration
for the execution of a processing pipeline on a big data platform. Constant observation
and evaluation against performance criteria assess the performance of pipelines
for many and different use cases. Based on these evaluations, the pipelines are
automatically adapted if necessary. The modular design with well-defined interfaces
enables the reusability and extensibility of pipeline components. A big data platform
implements this modular design supported by technologies such as Docker, Kubernetes,
and Kafka for virtualization and orchestration of the individual components and
their communication. The implementation of the architecture is evaluated using
a real-world use case. The prototypic implementation is accessible on GitHub and
contains a demonstration.
author:
- first_name: Andreas
full_name: Fischbach, Andreas
last_name: Fischbach
- first_name: Jan
full_name: Strohschein, Jan
last_name: Strohschein
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Jörg
full_name: Stork, Jörg
last_name: Stork
- first_name: Heide
full_name: Faeskorn-Woyke, Heide
last_name: Faeskorn-Woyke
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Thomas
full_name: Bartz-Beielstein, Thomas
last_name: Bartz-Beielstein
citation:
ama: Fischbach A, Strohschein J, Bunte A, et al. CAAI -- A Cognitive Architecture
to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The
International Journal of Advanced Manufacturing Technology. 2020;111(1/2):609-626.
doi:10.1007/s00170-020-06094-z
apa: Fischbach, A., Strohschein, J., Bunte, A., Stork, J., Faeskorn-Woyke, H., Moriz,
N., & Bartz-Beielstein, T. (2020). CAAI -- A Cognitive Architecture to Introduce
Artificial Intelligence in Cyber-Physical Production Systems. The International
Journal of Advanced Manufacturing Technology, 111(1/2), 609–626. https://doi.org/10.1007/s00170-020-06094-z
bjps: Fischbach A et al. (2020) CAAI -- A Cognitive Architecture to
Introduce Artificial Intelligence in Cyber-Physical Production Systems. The
International Journal of Advanced Manufacturing Technology 111, 609–626.
chicago: 'Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide
Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “CAAI -- A Cognitive
Architecture to Introduce Artificial Intelligence in Cyber-Physical Production
Systems.” The International Journal of Advanced Manufacturing Technology
111, no. 1/2 (2020): 609–26. https://doi.org/10.1007/s00170-020-06094-z.'
chicago-de: 'Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide
Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2020. CAAI -- A Cognitive
Architecture to Introduce Artificial Intelligence in Cyber-Physical Production
Systems. The International Journal of Advanced Manufacturing Technology
111, Nr. 1/2: 609–626. doi:10.1007/s00170-020-06094-z,
.'
din1505-2-1: 'Fischbach, Andreas ;
Strohschein, Jan ; Bunte,
Andreas ; Stork, Jörg ; Faeskorn-Woyke, Heide ; Moriz,
Natalia ; Bartz-Beielstein, Thomas:
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
Production Systems. In: The International Journal of Advanced Manufacturing
Technology Bd. 111, Springer (2020), Nr. 1/2, S. 609–626'
havard: A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N.
Moriz, T. Bartz-Beielstein, CAAI -- A Cognitive Architecture to Introduce Artificial
Intelligence in Cyber-Physical Production Systems, The International Journal of
Advanced Manufacturing Technology. 111 (2020) 609–626.
ieee: 'A. Fischbach et al., “CAAI -- A Cognitive Architecture to Introduce
Artificial Intelligence in Cyber-Physical Production Systems,” The International
Journal of Advanced Manufacturing Technology, vol. 111, no. 1/2, pp. 609–626,
2020, doi: 10.1007/s00170-020-06094-z.'
mla: Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial
Intelligence in Cyber-Physical Production Systems.” The International Journal
of Advanced Manufacturing Technology, vol. 111, no. 1/2, 2020, pp. 609–26,
https://doi.org/10.1007/s00170-020-06094-z.
short: A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz,
T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology
111 (2020) 609–626.
ufg: 'Fischbach, Andreas u. a.: CAAI -- A Cognitive Architecture to Introduce
Artificial Intelligence in Cyber-Physical Production Systems, in: The International
Journal of Advanced Manufacturing Technology 111 (2020), H. 1/2, S. 609–626.'
van: Fischbach A, Strohschein J, Bunte A, Stork J, Faeskorn-Woyke H, Moriz N, et
al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
Production Systems. The International Journal of Advanced Manufacturing Technology.
2020;111(1/2):609–26.
date_created: 2021-01-26T12:24:10Z
date_updated: 2025-06-26T13:38:24Z
department:
- _id: DEP5023
doi: 10.1007/s00170-020-06094-z
external_id:
isi:
- '000574389900002'
intvolume: ' 111'
isi: '1'
issue: 1/2
keyword:
- CPPS
- Artificial intelligence
- Industry 40
- Reference architecture
- Optimization
- SMBO
- Cognition
- Big data platform
- Modularization
- AutoML
language:
- iso: eng
page: 609-626
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
eissn:
- 1433-3015
issn:
- 0268-3768
publication_status: published
publisher: Springer
status: public
title: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
Production Systems
type: journal_article
user_id: '83781'
volume: 111
year: '2020'
...
---
_id: '4781'
abstract:
- lang: eng
text: Cyber-physical production systems (CPPS) integrate physical and computational
resources due to increasingly available sensors and processing power. This enables
the usage of data, to create additional benefit, such as condition monitoring
or optimization. These capabilities can lead to cognition, such that the system
is able to adapt independently to changing circumstances by learning from additional
sensors information. Developing a reference architecture for the design of CPPS
and standardization of machines and software interfaces is crucial to enable compatibility
of data usage between different machine models and vendors. This paper analysis
existing reference architecture regarding their cognitive abilities, based on
requirements that are derived from three different use cases. The results from
the evaluation of the reference architectures, which include two instances that
stem from the field of cognitive science, reveal a gap in the applicability of
the architectures regarding the generalizability and the level of abstraction.
While reference architectures from the field of automation are suitable to address
use case specific requirements, and do not address the general requirements, especially
w.r.t. adaptability, the examples from the field of cognitive science are well
usable to reach a high level of adaption and cognition. It is desirable to merge
advantages of both classes of architectures to address challenges in the field
of CPPS in Industrie 4.0.
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Andreas
full_name: Fischbach, Andreas
last_name: Fischbach
- first_name: Jan
full_name: Strohschein, Jan
last_name: Strohschein
- first_name: Thomas
full_name: Bartz-Beielstein, Thomas
last_name: Bartz-Beielstein
- first_name: Heide
full_name: Faeskorn-Woyke, Heide
last_name: Faeskorn-Woyke
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H,
Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems. In: Institute of Electrical and Electronics Engineers, Universidad de
Zaragoza , eds. 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies
and Factory Automation-ETFA. IEEE; 2019:729-736. doi:10.1109/etfa.2019.8869038'
apa: Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke,
H., & Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical
Production Systems. In Institute of Electrical and Electronics Engineers &
Universidad de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA) (pp. 729–736). IEEE. https://doi.org/10.1109/etfa.2019.8869038
bjps: 'Bunte A et al. (2019) Evaluation of Cognitive Architectures
for Cyber-Physical Production Systems. In Institute of Electrical and Electronics
Engineers and Universidad de Zaragoza (eds), 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA). [Piscataway, NJ]:
IEEE, pp. 729–736.'
chicago: 'Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein,
Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures
for Cyber-Physical Production Systems.” In 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), edited by Institute
of Electrical and Electronics Engineers and Universidad de Zaragoza , 729–36.
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA.
[Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/etfa.2019.8869038.'
chicago-de: 'Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein,
Heide Faeskorn-Woyke und Oliver Niggemann. 2019. Evaluation of Cognitive Architectures
for Cyber-Physical Production Systems. In: 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), hg. von Institute
of Electrical and Electronics Engineers und Universidad de Zaragoza , 729–736.
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA.
[Piscataway, NJ]: IEEE. doi:10.1109/etfa.2019.8869038,
.'
din1505-2-1: 'Bunte, Andreas ; Fischbach, Andreas ; Strohschein,
Jan ; Bartz-Beielstein, Thomas
; Faeskorn-Woyke, Heide ; Niggemann, Oliver: Evaluation of Cognitive
Architectures for Cyber-Physical Production Systems. In: Institute
of Electrical and Electronics Engineers ; Universidad
de Zaragoza (Hrsg.): 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), IEEE International Conference
on Emerging Technologies and Factory Automation-ETFA. [Piscataway, NJ] : IEEE,
2019, S. 729–736'
havard: 'A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
O. Niggemann, Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems, in: Institute of Electrical and Electronics Engineers, Universidad de
Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), IEEE, [Piscataway, NJ], 2019: pp. 729–736.'
ieee: 'A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
and O. Niggemann, “Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems,” in 24nd IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA), Zaragoza, SPAIN, 2019, pp. 729–736. doi: 10.1109/etfa.2019.8869038.'
mla: Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical
Production Systems.” 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), edited by Institute of Electrical and Electronics
Engineers and Universidad de Zaragoza , IEEE, 2019, pp. 729–36, https://doi.org/10.1109/etfa.2019.8869038.
short: 'A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
O. Niggemann, in: Institute of Electrical and Electronics Engineers, Universidad
de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), IEEE, [Piscataway, NJ], 2019, pp. 729–736.'
ufg: 'Bunte, Andreas u. a.: Evaluation of Cognitive Architectures for Cyber-Physical
Production Systems, in: Institute of Electrical and Electronics Engineers,
Universidad de Zaragoza (Hgg.): 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), [Piscataway, NJ] 2019 (IEEE International
Conference on Emerging Technologies and Factory Automation-ETFA), S. 729–736.'
van: 'Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H,
Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems. In: Institute of Electrical and Electronics Engineers, Universidad de
Zaragoza , editors. 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). [Piscataway, NJ]: IEEE; 2019. p. 729–36. (IEEE
International Conference on Emerging Technologies and Factory Automation-ETFA).'
conference:
end_date: 2019-09-13
location: Zaragoza, SPAIN
name: 24th IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA)
start_date: 2019-09-10
corporate_editor:
- Institute of Electrical and Electronics Engineers
- 'Universidad de Zaragoza '
date_created: 2021-02-02T08:10:37Z
date_updated: 2025-06-26T13:32:54Z
department:
- _id: DEP5023
doi: 10.1109/etfa.2019.8869038
keyword:
- Reference Architecture
- Cognition
- Industrie 4.0
language:
- iso: eng
page: 729-736
place: '[Piscataway, NJ]'
publication: 24nd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
publication_identifier:
eissn:
- 1946-0759
isbn:
- 978-1-7281-0303-7
issn:
- 1946-0740
publication_status: published
publisher: IEEE
series_title: IEEE International Conference on Emerging Technologies and Factory Automation-ETFA
status: public
title: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
type: conference
user_id: '83781'
year: '2019'
...