Resilience in Complex Systems: An Agent‐Based Approach

Gloria Pumpuni‐Lenss, Timothy Blackburn and Andreas Garstenauer

Systems Engineering, 2017, vol. 20, issue 2, 158-172

Abstract: This paper presents results from a research project on the behavior of complex systems after they experience disruptive events that impact their performance. As systems become more complex, the probability increases that they will exhibit emergent behavior that could lead to system failures or widespread and prolonged service interruptions. A complex adaptive system (CAS) approach is used to conceptualize a complex network system that has been impacted by disruptions and perturbations. A combination of network analysis and agent‐based modeling is used to measure the performance of the system as it responds to disruptive events and restoration efforts. This system‐level behavior is an emergent property of the complex network and represents system resilience. Various resilience measures are used to quantify system resilience and assess the effectiveness of strategies system owners employ to restore the system. We illustrate our techniques by characterizing a critical infrastructure system network as a CAS, and applying an agent‐based simulation with an adaptive algorithm.

Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/sys.21387

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:syseng:v:20:y:2017:i:2:p:158-172

Access Statistics for this article

More articles in Systems Engineering from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().