Modeling dynamic resilience in coupled technological-social systems subjected to stochastic disturbance regimes
Resilience of engineered systems is measured by the ability to anticipate, prepare for,
recover, learn, and improve from an external disturbance regime that comprises of a series
of chronic low-intensity and infrequent acute shocks, which disrupt functionality. Here, we
present a new systems-level model for coupled technological systems, which provide
functionality, and social systems in charge of management. Each system is characterized by
a single, aggregated, dynamic state variable, namely (1) critical service deficit, representing …
recover, learn, and improve from an external disturbance regime that comprises of a series
of chronic low-intensity and infrequent acute shocks, which disrupt functionality. Here, we
present a new systems-level model for coupled technological systems, which provide
functionality, and social systems in charge of management. Each system is characterized by
a single, aggregated, dynamic state variable, namely (1) critical service deficit, representing …
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