ACSOS 2025 (series) / Main Track /
Antifragility via Online Learning and Monitoring: an IoT Case Study
This program is tentative and subject to change.
Wed 1 Oct 2025 11:25 - 11:50 - Main Track - Self-Adaptive Systems and Online Learning Chair(s): Gabriel A. Moreno
This program is tentative and subject to change.
Wed 1 OctDisplayed time zone: Osaka, Sapporo, Tokyo change
Wed 1 Oct
Displayed time zone: Osaka, Sapporo, Tokyo change
11:00 - 12:30 | Main Track - Self-Adaptive Systems and Online LearningMain Track Chair(s): Gabriel A. Moreno Carnegie Mellon University Software Engineering Institute | ||
11:00 25mResearch paper | Neuro-Symbolic Causal Reasoning for Cautious Self-Adaptation under Distribution Shifts Main Track Christian Medeiros Adriano Hasso Plattner Institute, University of Potsdam, Sona Ghahremani Hasso Plattner Institute, University of Potsdam, Finn Kaiser , Holger Giese Hasso Plattner Institute, University of Potsdam | ||
11:25 25mResearch paper | Antifragility via Online Learning and Monitoring: an IoT Case Study Main Track Valerio Brauzi , Vincenzo Grassi University of Roma "Tor Vergata", Raffaela Mirandola Karlsruhe Institute of Technology (KIT), Diego Perez-Palacin Linnaeus University, Vincenzo Scotti | ||
11:50 25mResearch paper | Coordinating online reinforcement learning among multiple self-adaptive systems using factored Q-learning and constraint optimization Main Track Paul-Andrei Dragan University of Duisburg-Essen, Andreas Metzger University of Duisburg-Essen, Klaus Pohl Duisburg-Essen | ||
12:15 15mLive Q&A | Q&A and Panel Discussion Main Track |