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About this paper
Marc Carwehl, Calum Imrie, Thomas Vogel, Genaína Rodrigues, Radu Calinescu, Lars Grunske
A collaborative team from Humboldt-Universität zu Berlin, University of York, and University of Brasilia developed Parley, a two-tier control architecture and formal synthesis method for self-adaptive systems to actively reduce epistemic uncertainty. Parley significantly improved system objective trade-offs in 50% of evaluated cases and provided substantially more diverse adaptation policies in 98.3% of cases compared to periodic uncertainty reduction baselines.
Key insights
- Separating uncertainty reduction into a dedicated URC within a two-tier architecture simplifies design and improves the maintainability of complex self-adaptive systems.
- Formally synthesizing URCs using probabilistic model checking provides assurance for controller behavior, guaranteeing that quality constraints are met.
- Adaptive uncertainty reduction enables superior trade-offs between achieving system goals and minimizing information acquisition costs, especially under stringent system requirements.
Summary by alphaXiv.
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