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We focus on aggregate computing, a computational framework (encompassing models, languages, algorithms and platforms) for programming spatially-embedded and self-adaptive systems by focussing on the collection of devices seen as a single conceptual machine, i.e., at the aggregate level. After a short tutorial, we present recent research results connected to the engineering of resilient large-scale systems.
Spatial Multiagent Systems and Aggregate Computing: New Directions for Spatial Computing (3rd cycle, 2016/2017) — Andrea Omicini
