@article{AugustineSchwabKlarmannetal.2024, author = {Augustine, Nitin and Schwab, Maximilian and Klarmann, Steffen and Pfefferer, Christian and Schiendorfer, Alexander}, title = {Impact of Blemish Artefacts on Object Detection Models in Autonomous Driving: A Study on Camera Module Manufacturing Defects}, volume = {2024}, journal = {Procedia Computer Science}, number = {232}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1877-0509}, doi = {https://doi.org/10.1016/j.procs.2024.01.061}, pages = {616 -- 625}, year = {2024}, abstract = {With the rise of autonomous driving technology, concerns over the safety of AI-based systems have increased, particularly regarding their effect on human life and infrastructure. The complexity and unpredictable nature of AI-enabled software functions have disrupted traditional safety evaluation methods. In such a scenario, the quality control methods used at the manufacturing environments of sensors used for deploying AI-based perception functions need to be coupled with the downstream functions. This study focuses on investigating the impact of a specific production-related defect called blemish, which is caused by debris on image sensors of camera modules. The research aims to answer two fundamental questions: 1) How can blemish artifacts be mathematically modeled, and what is the process for developing a suitable dataset that incorporates this defect? 2) How can the influence of blemish artifacts on performance of object detection models be traced back to define quality requirements of the camera modules? This work takes a novel perspective by shifting the focus from improving model resilience to improving hardware quality camera modules by studying the effects of manufacturing defects on downstream functions. This research seeks to establish a framework to derive quality targets for front camera module manufacturing which can be extended to other sensors for similar applications.}, language = {en} } @inproceedings{BaschinBaschinBoeseltetal.2024, author = {Baschin, Anja and Baschin, Michelle and B{\"o}selt, Reinhard and Felix, Rudolf and Fernandez, Cesareo and Gehring, Sven and G{\"o}rtz, Alexander and Harpeng, Lars and Hei, Yuguang and Hildebrandt, Niclas and H{\"u}gging, Thomas and K{\"a}tzel, Pascal and Kolberg, Kristoffer-Robin and Kuoza, Leonid and Luzius, Lukas and Lisca, Gheorghe and Michailov, Lilia and Multhaup, Werner and Outafraout, Karima and Proch, Fabian and Schiendorfer, Alexander and Simmanek, Marcel and Streubel, Tom}, title = {Industrielle K{\"u}nstliche Intelligenz f{\"u}r sichere Gasnetze}, booktitle = {Tagungsband 18. Symposium Energieinnovation 2024}, publisher = {Technische Universit{\"a}t Graz}, address = {Graz}, url = {https://www.tugraz.at/events/eninnov2024/nachlese/download-beitraege/stream-a/\#c590685}, year = {2024}, language = {de} } @inproceedings{GajekSchiendorferReif2023, author = {Gajek, Carola and Schiendorfer, Alexander and Reif, Wolfgang}, title = {A Recommendation System for CAD Assembly Modeling based on Graph Neural Networks}, booktitle = {Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Proceedings, Part I}, editor = {Amini, Massih-Reza and Canu, St{\´e}phane and Fischer, Asja and Guns, Tias and Kralj Novak, Petra and Tsoumakas, Grigorios}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-26387-3}, doi = {https://doi.org/10.1007/978-3-031-26387-3_28}, pages = {457 -- 473}, year = {2023}, language = {en} } @inproceedings{SchoenmannLodesSchiendorfer2023, author = {Sch{\"o}nmann, Alexander and Lodes, Lukas and Schiendorfer, Alexander}, title = {KI-Augmentation der Reifegradbewertung von Technologien: K{\"o}nnen KI-Sprachmodelle Expertenwissen ersetzen?}, booktitle = {Vorausschau und Technologieplanung: 17. Symposium f{\"u}r Vorausschau und Technologieplanung, 14. und 15. September 2023, Berlin}, editor = {Dumitrescu, Roman and H{\"o}lzle, Katharina}, publisher = {Heinz-Nixdorf-Institut}, address = {Paderborn}, isbn = {978-3-947647-32-3}, doi = {https://doi.org/10.17619/UNIPB/1-1821}, pages = {371 -- 387}, year = {2023}, language = {de} } @inproceedings{LodesSchiendorfer2023, author = {Lodes, Lukas and Schiendorfer, Alexander}, title = {A Deep Learning Bootcamp for Engineering \& Management Students}, booktitle = {Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop}, editor = {Kinnaird, Katherine M. and Steinbach, Peter and Guhr, Oliver}, publisher = {PMLR}, address = {[s. l.]}, url = {https://proceedings.mlr.press/v207/lodes23a.html}, pages = {32 -- 36}, year = {2023}, language = {en} } @inproceedings{DachtlerOrtnerFerrietal.2023, author = {Dachtler, Kristina and Ortner, Michael and Ferri, Massimo and Eberst, Christof and Schiendorfer, Alexander}, title = {Data-centric and Goal-oriented AI for Robotic Repair Tasks}, booktitle = {ISR Europe 2023, 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA September 26 - 27, 2023 in Stuttgart}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-6141-8}, year = {2023}, language = {en} } @inproceedings{LodesSchiendorfer2022, author = {Lodes, Lukas and Schiendorfer, Alexander}, title = {Certainty Groups: A Practical Approach to Distinguish Confidence Levels in Neural Networks}, booktitle = {Proceedings of the European Conference of the PHM Society 2022}, editor = {Do, Phuc and Michau, Gabriel and Ezhilarasu, Cordelia}, publisher = {PHM Society}, address = {State College}, isbn = {978-1-936263-36-3}, doi = {https://doi.org/10.36001/phme.2022.v7i1.3331}, pages = {294 -- 305}, year = {2022}, abstract = {Machine Learning (ML), in particular classification with deep neural nets, can be applied to a variety of industrial tasks. It can augment established methods for controlling manufacturing processes such as statistical process control (SPC) to detect non-obvious patterns in high-dimensional input data. However, due to the widespread issue of model miscalibration in neural networks, there is a need for estimating the predictive uncertainty of these models. Many established approaches for uncertainty estimation output scores that are difficult to put into actionable insight. We therefore introduce the concept of certainty groups which distinguish the predictions of a neural network into the normal group and the certainty group. The certainty group contains only predictions with a very high accuracy that can be set up to 100\%. We present an approach to compute these certainty groups and demonstrate our approach on two datasets from a PHM setting.}, language = {en} } @article{StieberSchroeterFausteretal.2022, author = {Stieber, Simon and Schr{\"o}ter, Niklas and Fauster, Ewald and Bender, Marcel and Schiendorfer, Alexander and Reif, Wolfgang}, title = {Inferring material properties from FRP processes via sim-to-real learning}, volume = {128}, journal = {The International Journal of Advanced Manufacturing Technology}, number = {3-4}, publisher = {Springer}, address = {London}, issn = {1433-3015}, doi = {https://doi.org/10.1007/s00170-023-11509-8}, pages = {1517 -- 1533}, year = {2022}, abstract = {Fiber reinforced polymers (FRP) provide favorable properties such as weight-specific strength and stiffness that are central for certain industries, such as aerospace or automotive manufacturing. Liquid composite molding (LCM) is a family of often employed, inexpensive, out-of-autoclave manufacturing techniques. Among them, resin transfer molding (RTM), offers a high degree of automation. Herein, textile preforms are saturated by a fluid polymer matrix in a closed mold.Both impregnation quality and level of fiber volume content are of crucial importance for the final part quality. We propose to simultaneously learn three major textile properties (fiber volume content and permeability in X and Y direction) presented as a three-dimensional map based on a sequence of camera images acquired in flow experiments and compare CNNs, ConvLSTMs, and Transformers. Moreover, we show how simulation-to-real transfer learning can improve a digital twin in FRP manufacturing, compared to simulation-only models and models based on sparse real data. The overall best metrics are: IOU 0.5031 and Accuracy 95.929 \%, obtained by pretrained transformer models.}, language = {en} } @inproceedings{BhavnaniSchiendorfer2022, author = {Bhavnani, Sidhant and Schiendorfer, Alexander}, title = {Towards copeland optimization in combinatorial problems}, booktitle = {Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022; Proceedings}, editor = {Schaus, Pierre}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-08010-4}, doi = {https://doi.org/10.1007/978-3-031-08011-1_4}, pages = {34 -- 43}, year = {2022}, 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{StieberSchroeterSchiendorferetal.2021, author = {Stieber, Simon and Schr{\"o}ter, Niklas and Schiendorfer, Alexander and Hoffmann, Alwin and Reif, Wolfgang}, title = {FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs}, booktitle = {Machine Learning and Knowledge Discovery in Databases, Applied Data Science Track, Proceedings, Part IV}, editor = {Dong, Yuxiao and Mladenić, Dunja and Saunders, Craig}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-67667-4}, doi = {https://doi.org/10.1007/978-3-030-67667-4_25}, pages = {411 -- 426}, year = {2021}, 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{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{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}, issn = {1946-0759}, doi = {https://doi.org/10.1109/ETFA46521.2020.9212097}, pages = {1455 -- 1458}, year = {2020}, 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{GajekSchiendorferReif2019, author = {Gajek, Carola and Schiendorfer, Alexander and Reif, Wolfgang}, title = {A chained neural network model for photovoltaic power forecast}, booktitle = {Machine Learning, Optimization, and Data Science: 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings}, editor = {Nicosia, Giuseppe and Pardalos, Panos and Umeton, Renato and Giuffrida, Giovanni and Sciacca, Vincenzo}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-37598-0}, issn = {0302-9743}, doi = {https://doi.org/10.1007/978-3-030-37599-7_47}, pages = {566 -- 578}, year = {2019}, 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} } @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} } @article{SchiendorferKnappAndersetal.2018, author = {Schiendorfer, Alexander and Knapp, Alexander and Anders, Gerrit and Reif, Wolfgang}, title = {MiniBrass: Soft constraints for MiniZinc}, volume = {23}, journal = {Constraints}, number = {4}, publisher = {Springer}, address = {Dodrecht}, issn = {1572-9354}, doi = {https://doi.org/10.1007/s10601-018-9289-2}, pages = {403 -- 450}, year = {2018}, language = {en} } @inbook{AndersSiefertSchiendorferetal.2016, author = {Anders, Gerrit and Siefert, Florian and Schiendorfer, Alexander and Seebach, Hella and Stegh{\"o}fer, Jan-Philipp and Eberhardinger, Benedikt and Kosak, Oliver and Reif, Wolfgang}, title = {Specification and Design of Trust-Based Open Self-Organising Systems}, booktitle = {Trustworthy Open Self-Organising Systems}, editor = {Reif, Wolfgang and Anders, Gerrit and Seebach, Hella and Stegh{\"o}fer, Jan-Philipp and Andr{\´e}, Elisabeth and H{\"a}hner, J{\"o}rg and M{\"u}ller-Schloer, Christian and Ungerer, Theo}, publisher = {Birkh{\"a}user}, address = {Cham}, isbn = {978-3-319-29201-4}, doi = {https://doi.org/10.1007/978-3-319-29201-4_2}, pages = {17 -- 54}, year = {2016}, language = {en} } @inbook{SchiendorferAndersSteghoeferetal.2016, author = {Schiendorfer, Alexander and Anders, Gerrit and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Abstraction of Heterogeneous Supplier Models in Hierarchical Resource Allocation}, booktitle = {Transactions on Computational Collective Intelligence XX}, editor = {Nguyen, Ngoc Thanh and Kowalczyk, Ryszard and Duval, B{\´e}atrice and van den Herik, Jaap and Loiseau, Stephane and Filipe, Joaquim}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-27543-7}, doi = {https://doi.org/10.1007/978-3-319-27543-7_2}, pages = {23 -- 53}, year = {2016}, language = {en} } @inproceedings{KosakWanningerAngereretal.2016, author = {Kosak, Oliver and Wanninger, Constantin and Angerer, Andreas and Hoffmann, Alwin and Schiendorfer, Alexander and Seebach, Hella}, title = {Towards Self-organizing Swarms of Reconfigurable Self-aware Robots}, booktitle = {Proceedings: IEEE 1st International Workshops on Foundations and Applications of Self-* Systems (FAS-W 2016)}, editor = {Elnikety, Sameh and Lewis, Peter R. and M{\"u}ller-Schloer, Christian}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-5090-3651-6}, doi = {https://doi.org/10.1109/FAS-W.2016.52}, pages = {204 -- 209}, year = {2016}, language = {en} } @inbook{SchiendorferKnappSteghoeferetal.2015, author = {Schiendorfer, Alexander and Knapp, Alexander and Stegh{\"o}fer, Jan-Philipp and Anders, Gerrit and Siefert, Florian and Reif, Wolfgang}, title = {Partial Valuation Structures for Qualitative Soft Constraints}, booktitle = {Software, Services, and Systems: Essays Dedicated to MartinWirsing on the Occasion of His Retirement from the Chair of Programming and Software Engineering}, editor = {De Nicola, Rocco and Hennicker, Rolf}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-15545-6}, doi = {https://doi.org/10.1007/978-3-319-15545-6_10}, pages = {115 -- 133}, year = {2015}, language = {en} } @inproceedings{SchiendorferLassnerAndersetal.2015, author = {Schiendorfer, Alexander and Lassner, Christoph and Anders, Gerrit and Reif, Wolfgang and Lienhart, Rainer}, title = {Active Learning for Efficient Sampling of Control Models of Collectives}, booktitle = {Proceedings: 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems: SASO 2015}, publisher = {IEEE}, address = {Los Alamitos}, doi = {https://doi.org/10.1109/SASO.2015.13}, pages = {51 -- 60}, year = {2015}, language = {en} } @article{AndersSchiendorferSiefertetal.2015, author = {Anders, Gerrit and Schiendorfer, Alexander and Siefert, Florian and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Cooperative Resource Allocation in Open Systems of Systems}, volume = {10}, pages = {11}, journal = {ACM Transactions on Autonomous and Adaptive Systems}, number = {2}, publisher = {ACM}, address = {New York}, issn = {1556-4665}, doi = {https://dl.acm.org/doi/10.1145/2700323}, year = {2015}, language = {en} } @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{Schiendorfer2015, author = {Schiendorfer, Alexander}, title = {A Soft Constraint Approach to Self-organising Systems}, booktitle = {Organic Computing, Doctoral Dissertation Colloquium 2015}, editor = {Tomforde, Sven and Sick, Bernhard}, publisher = {kassel university press}, address = {Kassel}, isbn = {978-3-7376-0029-3}, url = {https://www.uni-kassel.de/ub/publizieren/kassel-university-press/verlagsprogramm?h=9783737600286}, pages = {3 -- 11}, year = {2015}, language = {en} } @inproceedings{SchiendorferLassnerAndersetal.2015, author = {Schiendorfer, Alexander and Lassner, Christoph and Anders, Gerrit and Reif, Wolfgang and Lienhart, Rainer}, title = {Active Learning for Abstract Models of Collectives}, booktitle = {ARCS 2015 - 28th International Conference on Architecture of Computing Systems, Workshop Proceedings}, editor = {Cardoso, Jo{\~a}o M. P.}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-3657-7}, url = {https://www.vde-verlag.de/proceedings-de/563657010.html}, year = {2015}, language = {en} } @inproceedings{SchiendorferSteghoeferReif2014, author = {Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Synthesis and Abstraction of Constraint Models for Hierarchical Resource Allocation Problems}, booktitle = {Proceedings of the 6th International Conference on Agents and Artificial Intelligence: Volume 2: ICAART}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-016-1}, doi = {https://doi.org/10.5220/0004757700150027}, pages = {15 -- 27}, year = {2014}, abstract = {Many resource allocation problems are hard to solve even with state-of-the-art constraint optimisation software upon reaching a certain scale. Our approach to deal with this increasing complexity is to employ a hierarchical "regio-central" mechanism. It requires two techniques: (1) the synthesis of several models of agents providing a certain resource into a centrally and efficiently solvable optimisation problem and (2) the creation of an abstracted version of this centralised model that reduces its complexity when passing it on to higher layers. We present algorithms to create such synthesised and abstracted models in a fully automated way and demonstrate empirically that the obtained solutions are comparable to central solutions but scale better in an example taken from energy management.}, language = {en} } @inproceedings{KnappSchiendorferReif2014, author = {Knapp, Alexander and Schiendorfer, Alexander and Reif, Wolfgang}, title = {Quality over Quantity in Soft Constraints}, booktitle = {Proceedings: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence: ICTAI 2014}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-4799-6572-4}, doi = {https://doi.org/10.1109/ICTAI.2014.75}, pages = {453 -- 460}, year = {2014}, 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{AndersSchiendorferSteghoeferetal.2014, author = {Anders, Gerrit and Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Reif, Wolfgang}, title = {Robust Scheduling in a Self-Organizing Hierarchy of Autonomous Virtual Power Plants}, booktitle = {ARCS 2014 - 27th International Conference on Architecture of Computing Systems: Workshop Proceedings}, editor = {Stechele, Walter and Wild, Thomas}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-3579-2}, url = {https://www.vde-verlag.de/proceedings-en/563579019.html}, year = {2014}, language = {en} } @inproceedings{Schiendorfer2014, author = {Schiendorfer, Alexander}, title = {Constraint Programming for Hierarchical Resource Allocation}, booktitle = {Organic Computing, Doctoral Dissertation Colloquium 2014}, editor = {Tomforde, Sven and Sick, Bernhard}, publisher = {kassel university press}, address = {Kassel}, isbn = {978-3-86219-832-0}, url = {https://www.uni-kassel.de/ub/publizieren/kassel-university-press/verlagsprogramm/?h=978-3-86219-832-0}, pages = {57 -- 68}, year = {2014}, language = {en} } @inproceedings{SchiendorferSteghoeferKnappetal.2013, author = {Schiendorfer, Alexander and Stegh{\"o}fer, Jan-Philipp and Knapp, Alexander and Nafz, Florian and Reif, Wolfgang}, title = {Constraint Relationships for Soft Constraints}, booktitle = {Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI: Proceedings of AI-2013}, editor = {Bramer, Max and Petridis, Miltos}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-02621-3}, doi = {https://doi.org/10.1007/978-3-319-02621-3_17}, pages = {241 -- 255}, year = {2013}, language = {en} } @inproceedings{SchiendorferZimmermannLuetal.2012, author = {Schiendorfer, Alexander and Zimmermann, Gerhard and Lu, Yan and Lo, George}, title = {Fault Diagnosis in HVAC Systems Based on the Heat Flow Model}, booktitle = {Proceedings of SimBuild Conference 2012, 5th Conference of IBPSA USA, Madison, Wisconsin, USA August 1-3, 2012}, publisher = {IBPSA}, address = {[s. l.]}, url = {https://publications.ibpsa.org/conference/?id=simbuild2012}, pages = {440 -- 447}, year = {2012}, language = {en} }