Michael Pernpeintner
InES Researcher
(Responsible Professor: Prof. Dr. H. Stuckenschmidt)
Consultation hour
on appointment (working from home until further notice)
Contact
Visitor address: L15, 1-6 Room 417, 68131 Mannheim, Germany
Postal address: Schloss, 68131 Mannheim, Germany
Email: pernpeintner(at)es.uni-mannheim.de
Phone: + 49 621 181 3546
Research Interests
- Multi-Agent Systems
- Self-Organizing and Emergent Software Systems
- Formal Methods and Mathematical Modeling
- Game Theory
- Agent-Related Machine Learning Methods (with focus on Reinforcement Learning)
Scientific Publications
- Pernpeintner, M. (2021). Toward a self-learning governance loop for competitive multi-attribute MAS. In , AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems : Richland, SC, Virtual Event United Kingdom, May, 2021 (S. 1619-1621). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
- Pernpeintner, M. (2020). Achieving emergent governance in competitive multi-agent systems. In , AAMAS '20 : Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, Auckland, Nea Zealand, May 2020 (S. 2204-2206). , ACM Digital Library: New York, NY.
- Pernpeintner, M. (2019). Collaboration as an emergent property of self-organizing software systems. In , 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems : FAS*W 2019 : proceedings (S. 231-233). , IEEE Computer Society Press: Piscataway, NJ.
- De Loera, J. A., Margulies, S., Pernpeintner, M., Riedl, E., Rolnick, D., Spencer, G., Stasi, D. und Swenson, J. (2015). Graph coloring ideals : Nullstellensatz certificates, Gröbner bases for chordal graphs, and hardness of Gröbner bases. In , ISSAC '15 : proceedings of the 2015 ACM International Symposium on Symbolic and Algebraic Computation : July 6-9, 2015, Bath, United Kingdom (S. 133-140). , ACM: New York, NY.
Current Research Project
- mobil-e-Hub: Dezentral optimierte Integration digitaler Services zur Personenmobilität sowie zur Nahversorgung für eine elektrische, drohnenbasierte Lieferlogistik im ländlichen Raum
Supervised Theses
- Data Modeling And Processing for AI-based Governance of Competitive Multi-Agent Systems (Master, 2020/21)
- Building an AI Agent for Strategic Interaction (Bachelor, 2019)
- Coverage-based Testing Improvement in the Domain of automated Driving - Utilizing unsupervised Selection of Traces in Field Data for Test Scenario Reconstruction (Master, 2018/19)
Short CV
- Since 2018: Researcher and PhD Student at the Institute for Enterprise Systems
- 2014-2017: Consultant at TWS Partners AG
- 2012-2014: MSc Mathematics in Operations Research at Technische Universität München (TUM)
- 2009-2012: BSc Mathematics at Technische Universität München (TUM)