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Sustainable design of distributed energy supply systems involves multiple aims.
Development of large engineered systems involves large amount of investments.
Therefore, generating such systems involves specific software building processes.
Very little learning in actual biological systems involves anything resembling supervised training.
The evaluation of recommendation systems involves predictive accuracy and classification metrics.
Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons.
Traditionally, the development of multi-agent systems involves logical structure design and its implementation.
The operation of electro-magneto-mechanical systems involves the interaction of these three physical domains.
Engineering of complex systems involves multiple disciplinary design teams with diversified skills.
Decision making in process-aware information systems involves build-time and run-time decisions.
The control of complex systems involves monitoring many time varying and interacting variables.
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