Due to increasing requirements on functionality (e.g. self-diagnosis, self-optimization) or flexibility (e.g. self-configuration), future automation systems are demanded to be more and more intelligent. Therefore the systems are desired to learn new knowledge from other systems or its environment. The purpose of this work is to propose a prospective concept of learning assistant for networked automation systems. With the help of the assistant, an automation system can obtain new knowledge by collaborating with other systems to improve its prior knowledge. So that the system user is liberated from continuously providing new knowledge to an automation system.
%0 Generic
%1 wang2015towards
%A Wang, Yongheng
%A Weyrich, Michael
%B ML4CPS 2015 – Machine Learning for Cyber Physical Systems and Industry 4.0 01.-02.10.2015 Lemgo, Deutschland
%D 2015
%K 2015ias 2015kiundmachinelearning ias
%R .
%T Towards a novel learning assistant for networked automation systems
%U https://www.ias.uni-stuttgart.de/dokumente/publikationen/2015_Towards_a_novel_learning_assistant_for_networked_automation_systems.pdf
%X Due to increasing requirements on functionality (e.g. self-diagnosis, self-optimization) or flexibility (e.g. self-configuration), future automation systems are demanded to be more and more intelligent. Therefore the systems are desired to learn new knowledge from other systems or its environment. The purpose of this work is to propose a prospective concept of learning assistant for networked automation systems. With the help of the assistant, an automation system can obtain new knowledge by collaborating with other systems to improve its prior knowledge. So that the system user is liberated from continuously providing new knowledge to an automation system.
@conference{wang2015towards,
abstract = {Due to increasing requirements on functionality (e.g. self-diagnosis, self-optimization) or flexibility (e.g. self-configuration), future automation systems are demanded to be more and more intelligent. Therefore the systems are desired to learn new knowledge from other systems or its environment. The purpose of this work is to propose a prospective concept of learning assistant for networked automation systems. With the help of the assistant, an automation system can obtain new knowledge by collaborating with other systems to improve its prior knowledge. So that the system user is liberated from continuously providing new knowledge to an automation system.
},
added-at = {2020-04-24T14:21:04.000+0200},
author = {Wang, Yongheng and Weyrich, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/27511d01b65a20ae1c0533c91aa26cde0/taylansngerli},
booktitle = {ML4CPS 2015 – Machine Learning for Cyber Physical Systems and Industry 4.0 01.-02.10.2015 Lemgo, Deutschland},
doi = {.},
interhash = {631e202ccf962f418259a99b38a76051},
intrahash = {7511d01b65a20ae1c0533c91aa26cde0},
keywords = {2015ias 2015kiundmachinelearning ias},
timestamp = {2020-05-19T13:53:39.000+0200},
title = {Towards a novel learning assistant for networked automation systems},
url = {https://www.ias.uni-stuttgart.de/dokumente/publikationen/2015_Towards_a_novel_learning_assistant_for_networked_automation_systems.pdf},
year = 2015
}
