Volltext-Downloads (blau) und Frontdoor-Views (grau)

CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems

  • 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 declarative goals of the user, 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 varying 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.

Download full text files

Export metadata

Additional Services

Search Google Scholar


Author:Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein
Series (Serial Number):CIplus (1/2020)
Document Type:Working Paper
Release Date:2020/03/10
Tag:Artificial intelligence; Big data platform; Cognition; Industry 4.0; Surrogate model based optimization
GND Keyword:Industrie 4.0; Big Data; Künstliche Intelligenz; Kognition
Page Number:15
Institutes and Central Facilities:Fakultät für Informatik und Ingenieurwissenschaften (F10)
Open Access:Open Access
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International