%0 Conference Paper %1 feist2022rango %A Feist, Melanie %A Breitbach, Martin %A Trötsch, Heiko %A Becker, Christian %A Krupitzer, Christian %B 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) %C Piscataway %D 2022 %E Casadei, R. %E Di Nitto, E. %E Gerostathopoulos, I. %E Pianini, D. %E Dusparic, I. %E Wood, T. %E Nelson, P. %E Pournaras, E. %E Bencomo, N. %E Götz, S. %E Krupitzer, C. %E Raibulet, C. %I IEEE %K ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos %P 31-40 %R 10.1109/ACSOS55765.2022.00021 %T Rango : An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems %@ 978-1-6654-7137-4 and 978-1-6654-7138-1

@inproceedings{feist2022rango, added-at = {2023-03-18T12:48:43.000+0100}, address = {Piscataway}, affiliation = {Feist, M (Corresponding Author), Goethe Univ Frankfurt, Frankfurt, Germany. Feist, Melanie, Goethe Univ Frankfurt, Frankfurt, Germany. Breitbach, Martin; Trotsch, Heiko, Univ Mannheim, Mannheim, Germany. Becker, Christian, Univ Stuttgart, Stuttgart, Germany. Krupitzer, Christian, Univ Hohenheim, Stuttgart, Germany.}, author = {Feist, Melanie and Breitbach, Martin and Trötsch, Heiko and Becker, Christian and Krupitzer, Christian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2518d54eaae41b7de4875f178e144d900/unibiblio}, booktitle = {2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)}, doi = {10.1109/ACSOS55765.2022.00021}, editor = {Casadei, R. and Di Nitto, E. and Gerostathopoulos, I. and Pianini, D. and Dusparic, I. and Wood, T. and Nelson, P. and Pournaras, E. and Bencomo, N. and Götz, S. and Krupitzer, C. and Raibulet, C.}, eventdate = {2022-09-19/2022-09-23}, eventtitle = {2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)}, interhash = {2475ef0e8dac4f6907bafb3b9e74c23c}, intrahash = {518d54eaae41b7de4875f178e144d900}, isbn = {{978-1-6654-7137-4} and {978-1-6654-7138-1}}, keywords = {ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos}, language = {eng}, pages = {31-40}, publisher = {IEEE}, timestamp = {2023-03-18T12:48:43.000+0100}, title = {Rango : An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems}, unique-id = {WOS:000890265300004}, venue = {California, USA}, year = 2022 }