Maxime Guériau, Nicolas Cardozo and Ivana Dusparic. Constructivist Approach to State Space Adaptation in Reinforcement Learning
David King and Gilbert Peterson. The Emergence of Division of Labor in Multi-Agent Systems
Denise Ratasich, Michael Platzer, Radu Grosu and Ezio Bartocci. Adaptive Fault Detection exploiting Redundancy with Uncertainties in Space and Time
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach and Gavin Taylor. Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning
Barry Porter and Roberto Vito Rodrigues Filho. Distributed Emergent Software: Assembling, Perceiving and Learning Systems at Scale
Agata Barcis and Christian Bettstetter. Beyond Sync: Distributed Temporal Coordination and Its Implementation in a Multi-Robot System
Vladimir Podolskiy, Michael Mayo, Abigail Koay, Michael Gerndt and Panos Patros. Maintaining SLOs of Cloud-native Applications via Self-Adaptive Resource Sharing
Erick Lavoie, Laurie Hendren, Frederic Desprez and Miguel Correia. Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC
Erik M. Fredericks, Ilias Gerostathopoulos, Christian Krupitzer and Thomas Vogel. Planning as Optimization: Online Learning of Situations and Optimal Configurations
Kamal Hakimzadeh and Jim Dowling. Ops-Scale: Elastic Cloud Operations by Declarative Functional Abstraction and Feedback Control Loop
Chloe M Barnes, Anikó Ekárt and Peter R Lewis. Social Action in Socially Situated Agents
Lei Fang, Simon Dobson and Juan Ye. Distributed Self-monitoring Sensor Networks via Markov Switching Dynamic Linear Models
Short papers
Ada Diaconescu, Louisa Jane Di Felice and Patricia Mellodge. Multi-scale Feedbacks for Large-scale Coordination in Self-* Systems
Bartosz Zurkowski and Krzysztof Zielinski. Towards Self-organizing Cloud Polyglot Database Systems
Luis Garcia Paucar and Nelly Bencomo. Runtime K Models to Support Trade-offs for Self-adaptation using Partially Observable Markov Decision Processes
Thomas Brand and Holger Giese. Generic adaptive monitoring based on executed architecture runtime model queries and events – effective and effort-reducing