Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning

Mirko D'Angelo
Mirko D'Angelo
Sona Ghahremani
Sona Ghahremani
Johannes Grohmann
Johannes Grohmann

ACSOS Companion, pp. 121-126, 2020.

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Abstract:

Engineering collective adaptive systems (CAS) with learning capabilities is a challenging task due to their multi-dimensional and complex design space. Data-driven approaches for CAS design could introduce new insights enabling system engineers to manage the CAS complexity more cost-effectively at the design-phase. This paper introduces...More

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