@inproceedings{SchiendorferWauteletReif2015, author = {Schiendorfer, Alexander and Wautelet, Yves and Reif, Wolfgang}, title = {Modeling Hierarchical Resources Within a Unified Ontology}, booktitle = {Proceedings of the International Conference on Agents and Artificial Intelligence}, subtitle = {A Position Paper}, editor = {Loiseau, Stephane and Filipe, Joaquim and Duval, B{\´e}atrice and van den Herik, Jaap}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-074-1}, doi = {https://doi.org/10.5220/0005289006140619}, pages = {614 -- 619}, year = {2015}, abstract = {Resource-Intensive Software Ecosystems (RISE) can mainly be found in production management but also in virtually any socio-technical environment. RISE appear prominently in the form of smart grids or cloud environments where optimizing resource utilization and allocation becomes the most important aspect for competitive service provision. In such a context, the need for unified ontologies supported by adaptive software (i.e., software able to learn from and act on its environment) is highly attractive. Indeed, resources are mostly not monolithic entities but active and collaborative agents often organized in a hierarchical manner. A hierarchy implies multiple levels of abstraction leading to resource allocation on different levels of organization -- with abstractions being relevant for both inter- and intra-organization resource management. Once adequately defined, the use of constraint-based optimization algorithms on those multiple levels can provide efficient resource allocation. We apply, in this paper, ontological elements to model resources in a unified manner on multiple levels onto an example taken from distributed energy management. Then we present algorithmic ideas to organize the hierarchy of these resources.}, language = {en} } @inproceedings{SchiendorferSteghoeferReif2014, author = {Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Synthesised Constraint Models for Distributed Energy Management}, booktitle = {Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (FedCSIS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-83-60810-58-3}, url = {https://ieeexplore.ieee.org/document/6933199}, pages = {1529 -- 1538}, year = {2014}, language = {en} } @inproceedings{KruetzmannSchiendorferBeratzetal.2020, author = {Kr{\"u}tzmann, Julia and Schiendorfer, Alexander and Beratz, Sergej and Moosburger-Will, Judith and Reif, Wolfgang and Horn, Siegfried}, title = {Learning Controllers for Adaptive Spreading of Carbon Fiber Tows}, booktitle = {Machine Learning, Optimization, and Data Science, 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II}, editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and Jansen, Giorgio and Sciacca, Vincenzo and Pardalos, Panos and Giuffrida, Giovanni and Umeton, Renato}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-64580-9}, doi = {https://doi.org/10.1007/978-3-030-64580-9_6}, pages = {65 -- 77}, year = {2020}, language = {en} } @inproceedings{StieberSchroeterFausteretal.2021, author = {Stieber, Simon and Schr{\"o}ter, Niklas and Fauster, Ewald and Schiendorfer, Alexander and Reif, Wolfgang}, title = {PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing}, booktitle = {Proceedings: 20th IEEE International Conference on Machine Learning and Applications (ICMLA 2021)}, editor = {Wani, M. Arif and Sethi, Ishwar and Shi, Weisong and Qu, Guangzhi and Raicu, Daniela Stan and Jin, Ruoming}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-4337-1}, doi = {https://doi.org/10.1109/ICMLA52953.2021.00116}, pages = {694 -- 697}, year = {2021}, language = {en} } @inproceedings{WilfertPaprottaKosaketal.2021, author = {Wilfert, Jonas and Paprotta, Niklas and Kosak, Oliver and Stieber, Simon and Schiendorfer, Alexander and Reif, Wolfgang}, title = {A Real-Word Realization of the AntNet Routing Algorithm with ActivityBots}, booktitle = {Proceedings, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion}, editor = {El-Araby, Esam and Kalogeraki, Vana and Pianini, Danilo and Lassabe, Fr{\´e}d{\´e}ric and Porter, Barry and Gharemani, Sona and Nunes, Ingrid and Bakhouya, Mohamed and Tomforde, Sven}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-4393-7}, doi = {https://doi.org/10.1109/ACSOS-C52956.2021.00072}, pages = {289 -- 290}, year = {2021}, language = {en} } @inproceedings{HankeKosakSchiendorferetal.2018, author = {Hanke, Julian and Kosak, Oliver and Schiendorfer, Alexander and Reif, Wolfgang}, title = {Self-organized Resource Allocation for Reconfigurable Robot Ensembles}, booktitle = {2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-5386-5172-8}, doi = {https://doi.org/10.1109/SASO.2018.00022}, pages = {110 -- 119}, year = {2018}, language = {en} } @inproceedings{SchiendorferGajekReif2021, author = {Schiendorfer, Alexander and Gajek, Carola and Reif, Wolfgang}, title = {Turning Software Engineers into Machine Learning Engineers}, booktitle = {Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop}, number = {141}, editor = {Bischl, Bernd and Guhr, Oliver and Seibold, Heidi and Steinbach, Peter}, publisher = {PMLR}, address = {[s. l.]}, url = {https://proceedings.mlr.press/v141/schiendorfer21a.html}, pages = {36 -- 41}, year = {2021}, language = {en} } @inproceedings{EllaGajekSchiendorferetal.2021, author = {Ella, Miriam and Gajek, Carola and Schiendorfer, Alexander and Reif, Wolfgang}, title = {An Interactive Web Application for Decision Tree Learning}, booktitle = {Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop}, number = {141}, editor = {Bischl, Bernd and Guhr, Oliver and Seibold, Heidi and Steinbach, Peter}, publisher = {PMLR}, address = {[s. l.]}, url = {https://proceedings.mlr.press/v141/elia21a.html}, pages = {11 -- 16}, year = {2021}, language = {en} } @inproceedings{StieberHoffmannSchiendorferetal.2020, author = {Stieber, Simon and Hoffmann, Alwin and Schiendorfer, Alexander and Reif, Wolfgang and Beyrle, Matthias and Faber, Jan and Richter, Michaela and Sause, Markus}, title = {Towards real-time process monitoring and machine learning for manufacturing composite structures}, booktitle = {Proceedings 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-8956-7}, doi = {https://doi.org/10.1109/ETFA46521.2020.9212097}, pages = {1455 -- 1458}, year = {2020}, language = {en} } @inproceedings{SchiendorferReif2019, author = {Schiendorfer, Alexander and Reif, Wolfgang}, title = {Reducing bias in preference aggregation for multiagent soft constraint problems}, booktitle = {Principles and Practice of Constraint Programming, 25th International Conference, CP 2019, Proceedings}, editor = {Schiex, Thomas and de Givry, Simon}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-30047-0}, doi = {https://doi.org/10.1007/978-3-030-30048-7_30}, pages = {510 -- 526}, year = {2019}, language = {en} }