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Leonore Röseler, Ingo Scholtes, Christoph Gote, "A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations", 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2023), 2023.

Abstract

Background: Despite a growing body of literature on the impact of software bots on open source software development teams, their effects on team communication, coordination, and collaboration practices are not well understood. Bots can have negative consequences, such as producing information overload or reducing interactions between developers. Objective: The objective of this study is to investigate the effect of specific GitHub Actions on the ...



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Christiane Wiebel, Matti Krüger, Patricia Wollstadt, "Measuring cooperation in Hanabi agents using information theory", International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023) , 2023.

Abstract

We propose to use a novel measure from information theory, called synergistic information, to measure cooperativity between two interacting agents. The synergy quantifies joint effects of two inputs towards a target that can not be obtained from either input alone. We argue that this definition of the synergy corresponds to popular notions of cooperation from prior art. In particular, we propose to estimate the synergy between two agents' actions...



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Andreas Neofytou, Jaeyub Hyun, Thiago Rios, Mariusz Bujny, Stefan Menzel, Hyunsun Kim, "Coupled Multidisciplinary Topology Optimization Methodology and Platform: Noise Minimization in Vehicle Cabin using 3D Level Set Topology Optimization considering Acoustic-structure Interaction", HRI-EU, 2023.

Abstract

This report summarizes the second year research of the project Coupled Multidisciplinary Topology Optimization Methodology and Platform. The modularized level set topology optimization (LSTO) methodology developed in the first year was applied to solve a vibroacoustic optimization problem in a simplified 3D vehicle cabin considering acoustic-structure interaction. Our objective was to minimize the noise generated at different points in the cabin ...



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Linus Ekstrom, Noah Wach, Manuel Rudolph, Fred Jendrzejewski, Sebastian Schmitt, "Data re-uploading with a single qudit", European Quantum AI summer school, 2023.

Abstract

Poster presentation at European Quantum AI summer school. ...



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Leonore Röseler, Ingo Scholtes, Christoph Gote, "A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations", arXiv, 2023.

Abstract

Background: Despite a growing body of literature on the impact of software bots on open source software development teams, their effects on team communication, coordination, and collaboration practices are not well understood. Bots can have negative consequences, such as producing information overload or reducing interactions between developers. Objective: The objective of this study is to investigate the effect of specific GitHub Actions on the ...



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Steffen Limmer, Johannes Varga, Guenther Raidl, "Large Neighborhood Search for Electric Vehicle Fleet Scheduling", Energies Journal, 2023.

Abstract

This work considers the problem of planning how a fleet of shared electric vehicles is charged and used for serving a set of reservations. While exact approaches can be used to efficiently solve small to medium-sized instances of this problem, heuristic approaches have been demonstrated to be superior in larger instances. The present work proposes a large neighborhood search approach for solving this problem, which employs a mixed integer linear ...



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Yannick Deller, Sebastian Schmitt, Maciej Lewenstein, Steve Lenk, Marika Federer, Fred Jendrzejewski, Philipp Hauke, Valentin Kasper, "Quantum approximate optimization algorithm for qudit systems", Physical Review A, vol. 107, pp. 062410 , 2023.

Abstract

A frequent starting point of quantum computation platforms are two-state quantum systems, i.e., qubits. However, in the context of integer optimization problems, relevant to scheduling optimization and operations research, it is often more resource-efficient to employ quantum systems with more than two basis states, so-called qudits. Here, we discuss the quantum approximate optimization algorithm (QAOA) for qudit systems. We illustrate how the QA...



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Thomas Schmitt, Jens Engel, Tobias Rodemann, "Regression-Based Model Error Compensation for a Hierarchical MPC Building Energy Management System", 7th IEEE Conference on Control Technology and Applications (CCTA) 2023, 2023.

Abstract

One of the major challenges in the development of energy management systems (EMSs) for complex buildings is accurate modeling. To address this, we propose an EMS, which combines a Model Predictive Control (MPC) approach with data-driven model error compensation. The hierarchical MPC approach consists of two layers: An aggregator controls the overall energy flows of the building in an aggregated perspective, while a distributor distributes ...



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Anna Belardinelli, Chao Wang, Michael Gienger, Daniel Tanneberg, Stephan Hasler, Theodoros Stouraitis, "AR-mediated explainability for teaching and cooperation", Second TRR 318 Conference: Measuring Understanding, 2023.

Abstract

The current spread of social and assistive robotics applications is increasingly highlighting the need for robots that can be easily taught and interacted with, even by users with no technical background. Still, it is often difficult to grasp what such robots know or to assess if a correct representation of the task is being formed. Augmented Reality (AR) has the potential to bridge this gap. We demonstrate three use cases where AR design elem...



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Sebastian Brulin, "Multi-Objective Bi-level Optimization Approach for Network Design Problems", MATSim User Meeting 2023, 2023.

Abstract

This paper presents a novel study in the field of Network Design Problems (NDPs) with a particular focus on multi-stakeholder situations in city planning, addressing the complexities of balancing profit, fairness, and system efficiency. A new multi-objective bi-level optimization framework is proposed, which expands upon traditional NDP methodologies by incorporating dynamic demand and supply-side information. Our method moves beyond standard NDP...



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