معرفی
Dr. Michael Schlechtinger is a Researcher at the University of Mannheim's Data and Web Science Group. His work focuses on multi-agent systems, reinforcement learning, and AI ethics with applications in market dynamics and competition law compliance. He holds a PhD in Computer Science from the University of Mannheim (2024), where his dissertation explored collusion detection in AI-driven pricing systems.
His research interests include agent-based modeling, time series analysis, and algorithmic pricing strategies. Recent work examines how AI agents in simulated markets develop collusive behaviors, with implications for antitrust regulations. He has published in top conferences like IJCAI and AAMAS, addressing topics such as collusion quantification and ethical AI design.
Key projects include the 'Kartellrechtskonforme KI (KarekoKI)' initiative aiming to detect and prevent price-fixing via AI systems. His interdisciplinary approach bridges computer science, economics, and law, with past studies in virtual reality applications and team leadership dynamics.
