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Assessing infrastructure interdependencies: the challenge of risk analysis for complex adaptive systems

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TLDR
The infrastructure interdependency assessment process, modelling tools developed to support that process and examples of assessment results are presented.
Abstract
Infrastructures are a complex set of interconnected, interdependent, adaptive systems on which the nation, manufacturing systems and individuals depend. Understanding the potential consequences of infrastructure interdependencies, as the infrastructures evolve and the regulations governing their operation change, is at the heart of our infrastructure interdependencies research program. This program includes development of analysis methods and simulation tools for evaluating the potential effects of disruptions and for prioritising risks. Fundamental infrastructures simulated using these tools include; transportation, telecommunications, electric power, banking and finance, water, agriculture, emergency services, fossil fuels, and government. The complexity of the infrastructures and their interactions prevent us from knowing a priori how these interactions will influence individuals, states or the nation; the consequences of policy decisions; vulnerabilities due to interdependencies, natural disasters, malevolent threats and aging; or vulnerabilities that need to be eliminated in order to assure individual, state or national economic security. The goal of the interdependency analyses is to identify significant risks to critical systems, arising from interconnection, and effective mechanisms for mitigating those risks. This article presents the infrastructure interdependency assessment process, modelling tools developed to support that process and examples of assessment results.

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Journal ArticleDOI

Review on modeling and simulation of interdependent critical infrastructure systems

TL;DR: To better understand CISs to support planning, maintenance and emergency decision making, modeling and simulation of interdependencies across CISs has recently become a key field of study and this paper reviews the studies in the field and broadly groups the existing modeling and Simulation approaches into six types.
Journal ArticleDOI

An approach for modelling interdependent infrastructures in the context of vulnerability analysis

TL;DR: The modelling approach considers structural properties, as employed in graph theory, as well as functional properties to increase its fidelity and usefulness and it is concluded that the proposed modelling approach is promising and suitable in the context of vulnerability analyses of interdependent systems.
Journal ArticleDOI

Challenges in the vulnerability and risk analysis of critical infrastructures

TL;DR: The integration of different types of analyses and methods of system modeling is put forward for capturing the inherent structural and dynamic complexities of critical infrastructures and eventually evaluating their vulnerability and risk characteristics, so that decisions on protections and resilience actions can be taken with the required confidence.
Journal ArticleDOI

A generalized modeling framework to analyze interdependencies among infrastructure systems

TL;DR: A generalized modeling framework that combines a multilayer network concept with a market-based economic approach to capture the interdependencies among various infrastructure systems with disparate physical and operational characteristics is proposed.

Toward modeling and simulation of critical national infrastructure interdependencies.

TL;DR: In this article, the authors propose an innovative modeling and analysis framework to study the entire system of physical and economic infrastructures and demonstrate its potential use to analyze, and propose a response for, a hypothetical disruption.
References
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Book

Growing Artificial Societies: Social Science from the Bottom Up

TL;DR: Artificial Society as discussed by the authors models life and death on the sugarcane, sex, culture and conflict, the emergence of history sugar and spice -trade comes to the sugarscane disease agents a society is born artificial societies versus traditional models artificial society versus a life toward generative social science - can you grow it?.
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ASPEN: A Microsimulation Model of the Economy

TL;DR: ASEN is a new agent-based microeconomic simulation model of the U.S. economy being developed at Sandia National Laboratories that allows a large number of individual economic agents to be modeled at a high level of detail and with a great degree of freedom.
ReportDOI

Aspen: A microsimulation model of the economy

TL;DR: Aspen as discussed by the authors is an agent-based microeconomic simulation model of the U.S. economy that allows a large number of individual economic agents to be modeled at a high level of detail and with a great degree of freedom.
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