[{"title":"Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it","citation":{"chicago-de":"Bunte, Andreas, Frank Richter und Rosanna Diovisalvi. 2021. Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it. In: <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Richter, Frank</span> ; <span style=\"font-variant:small-caps;\">Diovisalvi, Rosanna</span>: Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it. In: <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>, 2021","short":"A. Bunte, F. Richter, R. Diovisalvi, in: International Conference on Agents and Artificial Intelligence (ICAART), 2021.","havard":"A. Bunte, F. Richter, R. Diovisalvi, Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it, in: International Conference on Agents and Artificial Intelligence (ICAART), 2021.","bjps":"<b>Bunte A, Richter F and Diovisalvi R</b> (2021) Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It. <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>.","mla":"Bunte, Andreas, et al. “Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It.” <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>, 2021.","ufg":"<b>Bunte, Andreas et. al. (2021)</b>: Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it, in: <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>.","ama":"Bunte A, Richter F, Diovisalvi R. Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it. In: <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>. ; 2021.","van":"Bunte A, Richter F, Diovisalvi R. Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it. In: International Conference on Agents and Artificial Intelligence (ICAART). 2021.","chicago":"Bunte, Andreas, Frank Richter, and Rosanna Diovisalvi. “Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It.” In <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>, 2021.","ieee":"A. Bunte, F. Richter, and R. Diovisalvi, “Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it,” in <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>, Online Streaming, 2021.","apa":"Bunte, A., Richter, F., &#38; Diovisalvi, R. (2021). Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it. In <i>International Conference on Agents and Artificial Intelligence (ICAART)</i>. Online Streaming."},"conference":{"name":"13th International Conference on Agents and Artificial Intelligence (ICAART)","location":"Online Streaming","end_date":"2021-02-06","start_date":"2021-02-04"},"department":[{"_id":"DEP5023"}],"author":[{"id":"58885","first_name":"Andreas","full_name":"Bunte, Andreas","last_name":"Bunte"},{"first_name":"Frank","full_name":"Richter, Frank","last_name":"Richter"},{"last_name":"Diovisalvi","first_name":"Rosanna","full_name":"Diovisalvi, Rosanna"}],"year":2021,"status":"public","date_created":"2021-01-26T09:41:15Z","type":"conference","publication":"International Conference on Agents and Artificial Intelligence (ICAART)","date_updated":"2023-03-15T13:49:53Z","user_id":"68554","language":[{"iso":"eng"}],"_id":"4509"},{"intvolume":"       115","user_id":"83781","type":"scientific_journal_article","doi":"10.1007/s00170-021-07248-3","_id":"12800","place":"London [u.a.]","publication_status":"published","isi":"1","publisher":"Springer ","issue":"11-12","abstract":[{"lang":"eng","text":"his paper presents the cognitive module of the Cognitive Architecture for Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The goal of this architecture is to reduce the implementation effort of artificial intelligence (AI) algorithms in CPPS. Declarative user goals and the provided algorithm-knowledge base allow the dynamic pipeline orchestration and configuration. A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance for further evaluation through the cognitive module. Thus, the cognitive module is able to select feasible and robust configurations for process pipelines in varying use cases. Furthermore, it automatically adapts the models and algorithms based on model quality and resource consumption. The cognitive module also instantiates additional pipelines to evaluate algorithms from different classes on test functions. CAAI relies on well-defined interfaces to enable the integration of additional modules and reduce implementation effort. Finally, an implementation based on Docker, Kubernetes, and Kafka for the virtualization and orchestration of the individual modules and as messaging technology for module communication is used to evaluate a real-world use case."}],"department":[{"_id":"DEP5023"}],"date_updated":"2025-06-26T13:39:22Z","date_created":"2025-04-15T13:05:17Z","publication_identifier":{"eissn":["1433-3015"],"issn":["0268-3768"]},"publication":"The International Journal of Advanced Manufacturing Technology","language":[{"iso":"eng"}],"keyword":["Cognition","Industry 40","Big data platform","Machine learning","CPPS","Optimization","Algorithm selection","Simulation"],"volume":115,"citation":{"ama":"Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein T. Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The International Journal of Advanced Manufacturing Technology</i>. 2021;115(11-12):3513-3532. doi:<a href=\"https://doi.org/10.1007/s00170-021-07248-3\">10.1007/s00170-021-07248-3</a>","ieee":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, and T. Bartz-Beielstein, “Cognitive capabilities for the CAAI in cyber-physical production systems,” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 115, no. 11–12, pp. 3513–3532, 2021, doi: <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">10.1007/s00170-021-07248-3</a>.","van":"Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein T. Cognitive capabilities for the CAAI in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology. 2021;115(11–12):3513–32.","havard":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, Cognitive capabilities for the CAAI in cyber-physical production systems, The International Journal of Advanced Manufacturing Technology. 115 (2021) 3513–3532.","mla":"Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 115, no. 11–12, 2021, pp. 3513–32, <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">https://doi.org/10.1007/s00170-021-07248-3</a>.","bjps":"<b>Strohschein J <i>et al.</i></b> (2021) Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i> <b>115</b>, 3513–3532.","ufg":"<b>Strohschein, Jan u. a.</b>: Cognitive capabilities for the CAAI in cyber-physical production systems, in: <i>The International Journal of Advanced Manufacturing Technology</i> 115 (2021), H. 11–12,  S. 3513–3532.","apa":"Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., &#38; Bartz-Beielstein, T. (2021). Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The International Journal of Advanced Manufacturing Technology</i>, <i>115</i>(11–12), 3513–3532. <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">https://doi.org/10.1007/s00170-021-07248-3</a>","chicago":"Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i> 115, no. 11–12 (2021): 3513–32. <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">https://doi.org/10.1007/s00170-021-07248-3</a>.","short":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology 115 (2021) 3513–3532.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Strohschein, Jan</span> ; <span style=\"font-variant:small-caps;\">Fischbach, Andreas</span> ; <span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Faeskorn-Woyke, Heide</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Bartz-Beielstein, Thomas</span>: Cognitive capabilities for the CAAI in cyber-physical production systems. In: <i>The International Journal of Advanced Manufacturing Technology</i> Bd. 115. London [u.a.], Springer  (2021), Nr. 11–12, S. 3513–3532","chicago-de":"Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2021. Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The International Journal of Advanced Manufacturing Technology</i> 115, Nr. 11–12: 3513–3532. doi:<a href=\"https://doi.org/10.1007/s00170-021-07248-3\">10.1007/s00170-021-07248-3</a>, ."},"title":"Cognitive capabilities for the CAAI in cyber-physical production systems","page":"3513-3532","status":"public","external_id":{"isi":["000659025000010"]},"year":"2021","author":[{"full_name":"Strohschein, Jan","last_name":"Strohschein","first_name":"Jan"},{"first_name":"Andreas","full_name":"Fischbach, Andreas","last_name":"Fischbach"},{"id":"58885","first_name":"Andreas","last_name":"Bunte","full_name":"Bunte, Andreas"},{"full_name":"Faeskorn-Woyke, Heide","first_name":"Heide","last_name":"Faeskorn-Woyke"},{"id":"44238","full_name":"Moriz, Natalia","first_name":"Natalia","last_name":"Moriz"},{"first_name":"Thomas","full_name":"Bartz-Beielstein, Thomas","last_name":"Bartz-Beielstein"}]},{"title":"Concept for Rule-Based Information Aggregation in Modular Production Plants","citation":{"short":"C. Geng, N. Moriz, A. Bunte, H. Trsek, in: KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, Lemgo, Germany, 2020.","chicago-de":"Geng, Christoph, Natalia Moriz, Andreas Bunte und Henning Trsek. 2020. Concept for Rule-Based Information Aggregation in Modular Production Plants. In: <i>KommA 2020 – Jahreskolloquium Kommunikation in der Automation</i>. Lemgo, Germany.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Geng, Christoph</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Trsek, Henning</span>: Concept for Rule-Based Information Aggregation in Modular Production Plants. In: <i>KommA 2020 – Jahreskolloquium Kommunikation in der Automation</i>. Lemgo, Germany, 2020","ama":"Geng C, Moriz N, Bunte A, Trsek H. Concept for Rule-Based Information Aggregation in Modular Production Plants. In: <i>KommA 2020 – Jahreskolloquium Kommunikation in Der Automation</i>. Lemgo, Germany; 2020.","van":"Geng C, Moriz N, Bunte A, Trsek H. Concept for Rule-Based Information Aggregation in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany; 2020.","mla":"Geng, Christoph, et al. “Concept for Rule-Based Information Aggregation in Modular Production Plants.” <i>KommA 2020 – Jahreskolloquium Kommunikation in Der Automation</i>, 2020.","havard":"C. Geng, N. Moriz, A. Bunte, H. Trsek, Concept for Rule-Based Information Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, Lemgo, Germany, 2020.","bjps":"<b>Geng C <i>et al.</i></b> (2020) Concept for Rule-Based Information Aggregation in Modular Production Plants. <i>KommA 2020 – Jahreskolloquium Kommunikation in Der Automation</i>. Lemgo, Germany.","ufg":"<b>Geng, Christoph et. al. (2020)</b>: Concept for Rule-Based Information Aggregation in Modular Production Plants, in: <i>KommA 2020 – Jahreskolloquium Kommunikation in der Automation</i>, Lemgo, Germany.","ieee":"C. Geng, N. Moriz, A. Bunte, and H. Trsek, “Concept for Rule-Based Information Aggregation in Modular Production Plants,” in <i>KommA 2020 – Jahreskolloquium Kommunikation in der Automation</i>, Lemgo, 2020.","apa":"Geng, C., Moriz, N., Bunte, A., &#38; Trsek, H. (2020). Concept for Rule-Based Information Aggregation in Modular Production Plants. In <i>KommA 2020 – Jahreskolloquium Kommunikation in der Automation</i>. Lemgo, Germany.","chicago":"Geng, Christoph, Natalia Moriz, Andreas Bunte, and Henning Trsek. “Concept for Rule-Based Information Aggregation in Modular Production Plants.” In <i>KommA 2020 – Jahreskolloquium Kommunikation in Der Automation</i>. Lemgo, Germany, 2020."},"year":2020,"author":[{"id":"61408","last_name":"Geng","full_name":"Geng, Christoph","first_name":"Christoph"},{"id":"44238","first_name":"Natalia","last_name":"Moriz","full_name":"Moriz, Natalia"},{"first_name":"Andreas","last_name":"Bunte","id":"58885","full_name":"Bunte, Andreas"},{"last_name":"Trsek","first_name":"Henning","full_name":"Trsek, Henning","id":"1486"}],"department":[{"_id":"DEP5023"}],"conference":{"location":"Lemgo","name":"11. Jahreskolloquium KommA 2020","start_date":"2020-10-29","end_date":"2020-10-29"},"status":"public","publication":"KommA 2020 – Jahreskolloquium Kommunikation in der Automation","type":"conference","date_created":"2021-01-26T12:04:18Z","user_id":"68554","date_updated":"2023-03-15T13:49:53Z","_id":"4512","place":"Lemgo, Germany","language":[{"iso":"eng"}]},{"year":2020,"author":[{"full_name":"Bunte, Andreas","id":"58885","first_name":"Andreas","last_name":"Bunte"},{"full_name":"Ressler, Henrik","first_name":"Henrik","last_name":"Ressler","id":"62216"},{"first_name":"Natalia","full_name":"Moriz, Natalia","id":"44238","last_name":"Moriz"}],"conference":{"end_date":"2020-09-11","start_date":"2020-09-08","location":"Wien","name":"25th IEEE International Conference on Emerging Technologies and Factory Automation"},"department":[{"_id":"DEP5023"}],"status":"public","title":"Automated Detection of Production Cycles in Production Plants using Machine Learning","citation":{"chicago-de":"Bunte, Andreas, Henrik Ressler und Natalia Moriz. 2020. Automated Detection of Production Cycles in Production Plants using Machine Learning. In: <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>. Vienna, Austria.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Ressler, Henrik</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span>: Automated Detection of Production Cycles in Production Plants using Machine Learning. In: <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>. Vienna, Austria, 2020","short":"A. Bunte, H. Ressler, N. Moriz, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria, 2020.","havard":"A. Bunte, H. Ressler, N. Moriz, Automated Detection of Production Cycles in Production Plants using Machine Learning, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria, 2020.","mla":"Bunte, Andreas, et al. “Automated Detection of Production Cycles in Production Plants Using Machine Learning.” <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>, 2020.","bjps":"<b>Bunte A, Ressler H and Moriz N</b> (2020) Automated Detection of Production Cycles in Production Plants Using Machine Learning. <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>. Vienna, Austria.","ufg":"<b>Bunte, Andreas et. al. (2020)</b>: Automated Detection of Production Cycles in Production Plants using Machine Learning, in: <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>, Vienna, Austria.","ama":"Bunte A, Ressler H, Moriz N. Automated Detection of Production Cycles in Production Plants using Machine Learning. In: <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>. Vienna, Austria; 2020.","van":"Bunte A, Ressler H, Moriz N. Automated Detection of Production Cycles in Production Plants using Machine Learning. In: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria; 2020.","chicago":"Bunte, Andreas, Henrik Ressler, and Natalia Moriz. “Automated Detection of Production Cycles in Production Plants Using Machine Learning.” In <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>. Vienna, Austria, 2020.","ieee":"A. Bunte, H. Ressler, and N. Moriz, “Automated Detection of Production Cycles in Production Plants using Machine Learning,” in <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>, Wien, 2020.","apa":"Bunte, A., Ressler, H., &#38; Moriz, N. (2020). Automated Detection of Production Cycles in Production Plants using Machine Learning. In <i>25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) </i>. Vienna, Austria."},"place":"Vienna, Austria","language":[{"iso":"eng"}],"_id":"4513","publication":"25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) ","type":"conference","date_created":"2021-01-26T12:08:54Z","user_id":"68554","date_updated":"2023-03-15T13:49:53Z"},{"external_id":{"isi":["000574389900002"]},"year":"2020","author":[{"first_name":"Andreas","last_name":"Fischbach","full_name":"Fischbach, Andreas"},{"full_name":"Strohschein, Jan","first_name":"Jan","last_name":"Strohschein"},{"last_name":"Bunte","first_name":"Andreas","id":"58885","full_name":"Bunte, Andreas"},{"first_name":"Jörg","full_name":"Stork, Jörg","last_name":"Stork"},{"full_name":"Faeskorn-Woyke, Heide","first_name":"Heide","last_name":"Faeskorn-Woyke"},{"last_name":"Moriz","first_name":"Natalia","id":"44238","full_name":"Moriz, Natalia"},{"first_name":"Thomas","full_name":"Bartz-Beielstein, Thomas","last_name":"Bartz-Beielstein"}],"status":"public","page":"609-626","title":"CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems","volume":111,"citation":{"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.","ufg":"<b>Fischbach, Andreas u. a.</b>: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems, in: <i>The International Journal of Advanced Manufacturing Technology</i> 111 (2020), H. 1/2,  S. 609–626.","mla":"Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 111, no. 1/2, 2020, pp. 609–26, <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">https://doi.org/10.1007/s00170-020-06094-z</a>.","bjps":"<b>Fischbach A <i>et al.</i></b> (2020) CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i> <b>111</b>, 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.","apa":"Fischbach, A., Strohschein, J., Bunte, A., Stork, J., Faeskorn-Woyke, H., Moriz, N., &#38; Bartz-Beielstein, T. (2020). CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i>, <i>111</i>(1/2), 609–626. <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">https://doi.org/10.1007/s00170-020-06094-z</a>","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.” <i>The International Journal of Advanced Manufacturing Technology</i> 111, no. 1/2 (2020): 609–26. <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">https://doi.org/10.1007/s00170-020-06094-z</a>.","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.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fischbach, Andreas</span> ; <span style=\"font-variant:small-caps;\">Strohschein, Jan</span> ; <span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Stork, Jörg</span> ; <span style=\"font-variant:small-caps;\">Faeskorn-Woyke, Heide</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Bartz-Beielstein, Thomas</span>: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. In: <i>The International Journal of Advanced Manufacturing Technology</i> Bd. 111, Springer (2020), Nr. 1/2, S. 609–626","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. <i>The International Journal of Advanced Manufacturing Technology</i> 111, Nr. 1/2: 609–626. doi:<a href=\"https://doi.org/10.1007/s00170-020-06094-z\">10.1007/s00170-020-06094-z</a>, .","ama":"Fischbach A, Strohschein J, Bunte A, et al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i>. 2020;111(1/2):609-626. doi:<a href=\"https://doi.org/10.1007/s00170-020-06094-z\">10.1007/s00170-020-06094-z</a>","ieee":"A. Fischbach <i>et al.</i>, “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems,” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 111, no. 1/2, pp. 609–626, 2020, doi: <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">10.1007/s00170-020-06094-z</a>."},"keyword":["CPPS","Artificial intelligence","Industry 40","Reference architecture","Optimization","SMBO","Cognition","Big data platform","Modularization","AutoML"],"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1433-3015"],"issn":["0268-3768"]},"publication":"The International Journal of Advanced Manufacturing Technology","date_created":"2021-01-26T12:24:10Z","date_updated":"2025-06-26T13:38:24Z","issue":"1/2","abstract":[{"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.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"publisher":"Springer","isi":"1","publication_status":"published","_id":"4518","doi":"10.1007/s00170-020-06094-z","type":"journal_article","intvolume":"       111","user_id":"83781"},{"type":"book_chapter","date_created":"2021-02-02T08:38:44Z","publication":"Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik","publication_identifier":{"isbn":["978-3-662-45537-1"]},"editor":[{"full_name":"ten Hompel, Michael","first_name":"Michael","last_name":"ten Hompel"},{"full_name":"Vogel-Heuser, Birgit","first_name":"Birgit","last_name":"Vogel-Heuser"},{"last_name":"Bauernhansl","full_name":"Bauernhansl, Thomas","first_name":"Thomas"}],"date_updated":"2023-03-15T13:49:55Z","user_id":"74004","_id":"4786","language":[{"iso":"ger"}],"place":"Berlin","title":"Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion","publication_status":"published","citation":{"ama":"Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Hranisavljevic N, Bunte A. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: ten Hompel M, Vogel-Heuser B, Bauernhansl T, eds. <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>. Berlin: Springer; 2020:800.","ieee":"O. Niggemann, G. Biswas, J. S. Kinnebrew, H. Khorasgani, N. Hranisavljevic, and A. Bunte, “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion,” in <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>, M. ten Hompel, B. Vogel-Heuser, and T. Bauernhansl, Eds. Berlin: Springer, 2020, p. 800.","ufg":"<b>Niggemann, Oliver et. al. (2020)</b>: Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, in: Michael ten Hompel et. al. (Hgg.): <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>, Berlin, S. 800.","bjps":"<b>Niggemann O <i>et al.</i></b> (2020) Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In ten Hompel M, Vogel-Heuser B and Bauernhansl T (eds), <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>. Berlin: Springer, p. 800.","mla":"Niggemann, Oliver, et al. “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.” <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>, edited by Michael ten Hompel et al., Springer, 2020, p. 800.","havard":"O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, N. Hranisavljevic, A. Bunte, Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, in: M. ten Hompel, B. Vogel-Heuser, T. Bauernhansl (Eds.), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Springer, Berlin, 2020: p. 800.","van":"Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Hranisavljevic N, Bunte A. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: ten Hompel M, Vogel-Heuser B, Bauernhansl T, editors. Handbuch Industrie 40: Produktion, Automatisierung und Logistik. Berlin: Springer; 2020. p. 800.","chicago":"Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Nemanja Hranisavljevic, and Andreas Bunte. “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.” In <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>, edited by Michael ten Hompel, Birgit Vogel-Heuser, and Thomas Bauernhansl, 800. Berlin: Springer, 2020.","apa":"Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Hranisavljevic, N., &#38; Bunte, A. (2020). Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In M. ten Hompel, B. Vogel-Heuser, &#38; T. Bauernhansl (Eds.), <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i> (p. 800). Berlin: Springer.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Niggemann, Oliver</span> ; <span style=\"font-variant:small-caps;\">Biswas, Gautam</span> ; <span style=\"font-variant:small-caps;\">Kinnebrew, John S.</span> ; <span style=\"font-variant:small-caps;\">Khorasgani, Hamed</span> ; <span style=\"font-variant:small-caps;\">Hranisavljevic, Nemanja</span> ; <span style=\"font-variant:small-caps;\">Bunte, Andreas</span>: Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: <span style=\"font-variant:small-caps;\">ten Hompel, M.</span> ; <span style=\"font-variant:small-caps;\">Vogel-Heuser, B.</span> ; <span style=\"font-variant:small-caps;\">Bauernhansl, T.</span> (Hrsg.): <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>. Berlin : Springer, 2020, S. 800","chicago-de":"Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Nemanja Hranisavljevic und Andreas Bunte. 2020. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In: <i>Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik</i>, hg. von Michael ten Hompel, Birgit Vogel-Heuser, und Thomas Bauernhansl, 800. Berlin: Springer.","short":"O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, N. Hranisavljevic, A. Bunte, in: M. ten Hompel, B. Vogel-Heuser, T. Bauernhansl (Eds.), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Springer, Berlin, 2020, p. 800."},"department":[{"_id":"DEP5023"}],"year":2020,"author":[{"full_name":"Niggemann, Oliver","id":"10876","first_name":"Oliver","last_name":"Niggemann"},{"first_name":"Gautam","full_name":"Biswas, Gautam","last_name":"Biswas"},{"last_name":"Kinnebrew","first_name":"John S.","full_name":"Kinnebrew, John S."},{"full_name":"Khorasgani, Hamed","first_name":"Hamed","last_name":"Khorasgani"},{"last_name":"Hranisavljevic","id":"62376","full_name":"Hranisavljevic, Nemanja","first_name":"Nemanja"},{"first_name":"Andreas","last_name":"Bunte","full_name":"Bunte, Andreas","id":"58885"}],"publisher":"Springer","page":"800","status":"public"},{"user_id":"68554","date_updated":"2023-03-15T13:49:55Z","publication":"24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","type":"conference","date_created":"2021-02-02T08:08:34Z","_id":"4780","place":"Zaragoza, Spain","language":[{"iso":"eng"}],"citation":{"chicago":"Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla, and Oliver Niggemann. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” In <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain, 2019.","ieee":"A. Bunte <i>et al.</i>, “Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS,” in <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 2019.","apa":"Bunte, A., Wunderlich, P., Moriz, N., Li, P., Mankowski, A., Rogalla, A., &#38; Niggemann, O. (2019). Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain.","havard":"A. Bunte, P. Wunderlich, N. Moriz, P. Li, A. Mankowski, A. Rogalla, O. Niggemann, Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain, 2019.","bjps":"<b>Bunte A <i>et al.</i></b> (2019) Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS. <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain.","mla":"Bunte, Andreas, et al. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 2019.","ufg":"<b>Bunte, Andreas et. al. (2019)</b>: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Zaragoza, Spain.","ama":"Bunte A, Wunderlich P, Moriz N, et al. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain; 2019.","van":"Bunte A, Wunderlich P, Moriz N, Li P, Mankowski A, Rogalla A, et al. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain; 2019.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Wunderlich, Paul</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Li, Peng</span> ; <span style=\"font-variant:small-caps;\">Mankowski, Andre</span> ; <span style=\"font-variant:small-caps;\">Rogalla, Antje</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span>: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain, 2019","chicago-de":"Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla und Oliver Niggemann. 2019. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Zaragoza, Spain.","short":"A. Bunte, P. Wunderlich, N. Moriz, P. Li, A. Mankowski, A. Rogalla, O. Niggemann, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain, 2019."},"title":"Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS","status":"public","year":2019,"author":[{"full_name":"Bunte, Andreas","last_name":"Bunte","id":"58885","first_name":"Andreas"},{"full_name":"Wunderlich, Paul","first_name":"Paul","id":"52317","last_name":"Wunderlich"},{"first_name":"Natalia","last_name":"Moriz","full_name":"Moriz, Natalia","id":"44238"},{"first_name":"Peng","id":"58937","full_name":"Li, Peng","last_name":"Li"},{"first_name":"Andre","id":"51482","full_name":"Mankowski, Andre","last_name":"Mankowski"},{"full_name":"Rogalla, Antje","last_name":"Rogalla","first_name":"Antje","id":"66617"},{"first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876","last_name":"Niggemann"}],"department":[{"_id":"DEP5023"}]},{"publisher":"IEEE","abstract":[{"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.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"conference":{"start_date":"2019-09-10","end_date":"2019-09-13","location":"Zaragoza, SPAIN","name":"24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)"},"publication_status":"published","series_title":"IEEE International Conference on Emerging Technologies and Factory Automation-ETFA","doi":"10.1109/etfa.2019.8869038","_id":"4781","place":"[Piscataway, NJ]","user_id":"83781","type":"conference","page":"729-736","status":"public","author":[{"last_name":"Bunte","first_name":"Andreas","id":"58885","full_name":"Bunte, Andreas"},{"first_name":"Andreas","full_name":"Fischbach, Andreas","last_name":"Fischbach"},{"full_name":"Strohschein, Jan","first_name":"Jan","last_name":"Strohschein"},{"first_name":"Thomas","last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, Thomas"},{"first_name":"Heide","last_name":"Faeskorn-Woyke","full_name":"Faeskorn-Woyke, Heide"},{"id":"10876","first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann"}],"year":"2019","citation":{"mla":"Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.” <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, edited by Institute of Electrical and Electronics Engineers and Universidad de Zaragoza , IEEE, 2019, pp. 729–36, <a href=\"https://doi.org/10.1109/etfa.2019.8869038\">https://doi.org/10.1109/etfa.2019.8869038</a>.","bjps":"<b>Bunte A <i>et al.</i></b> (2019) Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In Institute of Electrical and Electronics Engineers and Universidad de Zaragoza  (eds), <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. [Piscataway, NJ]: IEEE, pp. 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.","ufg":"<b>Bunte, Andreas u. a.</b>: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems, in: <i>Institute of Electrical and Electronics Engineers, Universidad de Zaragoza  (Hgg.)</i>: 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.","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. <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. IEEE; 2019:729-736. doi:<a href=\"https://doi.org/10.1109/etfa.2019.8869038\">10.1109/etfa.2019.8869038</a>","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).","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 <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 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. <a href=\"https://doi.org/10.1109/etfa.2019.8869038\">https://doi.org/10.1109/etfa.2019.8869038</a>.","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 <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Zaragoza, SPAIN, 2019, pp. 729–736. doi: <a href=\"https://doi.org/10.1109/etfa.2019.8869038\">10.1109/etfa.2019.8869038</a>.","apa":"Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke, H., &#38; Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In Institute of Electrical and Electronics Engineers &#38; Universidad de Zaragoza  (Eds.), <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i> (pp. 729–736). IEEE. <a href=\"https://doi.org/10.1109/etfa.2019.8869038\">https://doi.org/10.1109/etfa.2019.8869038</a>","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: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 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:<a href=\"https://doi.org/10.1109/etfa.2019.8869038\">10.1109/etfa.2019.8869038</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Fischbach, Andreas</span> ; <span style=\"font-variant:small-caps;\">Strohschein, Jan</span> ; <span style=\"font-variant:small-caps;\">Bartz-Beielstein, Thomas</span> ; <span style=\"font-variant:small-caps;\">Faeskorn-Woyke, Heide</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span>: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: <span style=\"font-variant:small-caps;\">Institute of Electrical and Electronics Engineers</span> ; <span style=\"font-variant:small-caps;\">Universidad de Zaragoza </span> (Hrsg.): <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, <i>IEEE International Conference on Emerging Technologies and Factory Automation-ETFA</i>. [Piscataway, NJ] : IEEE, 2019, S. 729–736","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."},"title":"Evaluation of Cognitive Architectures for Cyber-Physical Production Systems","language":[{"iso":"eng"}],"keyword":["Reference Architecture","Cognition","Industrie 4.0"],"corporate_editor":["Institute of Electrical and Electronics Engineers","Universidad de Zaragoza "],"date_updated":"2025-06-26T13:32:54Z","date_created":"2021-02-02T08:10:37Z","publication_identifier":{"issn":["1946-0740"],"isbn":["978-1-7281-0303-7"],"eissn":["1946-0759"]},"publication":"24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)"},{"department":[{"_id":"DEP5023"}],"author":[{"first_name":"Andreas","last_name":"Bunte","id":"58885","full_name":"Bunte, Andreas"},{"first_name":"Andreas","last_name":"Fischbach","full_name":"Fischbach, Andreas"},{"full_name":"Strohschein, Jan","first_name":"Jan","last_name":"Strohschein"},{"first_name":"Thomas","full_name":"Bartz-Beielstein, Thomas","last_name":"Bartz-Beielstein"},{"first_name":"Heide","last_name":"Faeskorn-Woyke","full_name":"Faeskorn-Woyke, Heide"},{"last_name":"Niggemann","first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876"}],"year":2019,"status":"public","title":"Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems","citation":{"apa":"Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke, H., &#38; Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. <i>ArXiv E-Prints</i>.","chicago":"Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” <i>ArXiv E-Prints</i>, 2019.","van":"Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints. 2019;","ufg":"<b>Bunte, Andreas et. al. (2019)</b>: Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems, in: <i>arXiv e-prints</i>.","bjps":"<b>Bunte A <i>et al.</i></b> (2019) Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. <i>arXiv e-prints</i>.","havard":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, O. Niggemann, Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems, ArXiv E-Prints. (2019).","mla":"Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” <i>ArXiv E-Prints</i>, 2019.","short":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, O. Niggemann, ArXiv E-Prints (2019).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Fischbach, Andreas</span> ; <span style=\"font-variant:small-caps;\">Strohschein, Jan</span> ; <span style=\"font-variant:small-caps;\">Bartz-Beielstein, Thomas</span> ; <span style=\"font-variant:small-caps;\">Faeskorn-Woyke, Heide</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span>: Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. In: <i>arXiv e-prints</i> (2019)","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 ProductionSystems. <i>arXiv e-prints</i>.","ieee":"A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke, and O. Niggemann, “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems,” <i>arXiv e-prints</i>, 2019.","ama":"Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. <i>arXiv e-prints</i>. 2019."},"_id":"4784","language":[{"iso":"eng"}],"date_created":"2021-02-02T08:16:16Z","type":"journal_article","publication":"arXiv e-prints","date_updated":"2023-03-15T13:49:55Z","user_id":"68554"},{"status":"public","publisher":"Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)","year":2019,"author":[{"full_name":"Bunte, Andreas","first_name":"Andreas","id":"58885","last_name":"Bunte"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"},{"id":"10876","first_name":"Oliver","full_name":"Niggemann, Oliver","last_name":"Niggemann"}],"department":[{"_id":"DEP5023"}],"citation":{"ama":"Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019.","ieee":"A. Bunte, B. Stein, and O. Niggemann, “Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models,” 2019.","chicago-de":"Bunte, Andreas, Benno Stein und Oliver Niggemann. 2019. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: . Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Stein, Benno</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span>: Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: . Hawaii, USA : Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019","short":"A. Bunte, B. Stein, O. 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Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.","van":"Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019.","chicago":"Bunte, Andreas, Benno Stein, and Oliver Niggemann. “Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models.” Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.","apa":"Bunte, A., Stein, B., &#38; Niggemann, O. (2019). Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. 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Damit komplexe An-\r\nlagen eﬃzient bedient werden k¨onnen, vor allem im Fall eines Fehlers, sind neue Inter-\r\naktionskonzepte erforderlich. In dieser Arbeit wurde ein Konzept f¨ur die Sprachverar-\r\nbeitung entworfen und prototypisch implementiert. Zus¨atzlich zur Sprachverarbeitung\r\nist eine semantische Schicht notwendig um eine Steuerung ¨uber Sprache zu realisieren","lang":"ger"}],"citation":{"ama":"Bunte A, Diedrich A, Niggemann O. Natürlichsprachliche Schnittstelle für Produktionssysteme. In: <i>Tagungsband Des Entwicklerforums “HMI – Komponenten Lösungen.”</i> München: HMI; 2016.","ieee":"A. Bunte, A. Diedrich, and O. Niggemann, “Natürlichsprachliche Schnittstelle für Produktionssysteme,” in <i>Tagungsband des Entwicklerforums “HMI – Komponenten Lösungen,”</i> 2016.","van":"Bunte A, Diedrich A, Niggemann O. Natürlichsprachliche Schnittstelle für Produktionssysteme. In: Tagungsband des Entwicklerforums “HMI – Komponenten Lösungen.” München: HMI; 2016.","havard":"A. 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