Simulation of the Governance of Complex Systems (1.1.0)
The simulation framework “Simulation of the Governance of Complex Systems” (SimCo) has been conceived as a general purpose framework that allows to model and to analyse interaction processes in networked systems which force agents to take into consideration the physical infrastructure (with nodes and edges) as an additional variable when making individual choices. It shall improve our understanding of how to control complex, network-like infrastructure systems (macro level)involving the interactions of a large number of strategic decision makers (autonomous agents at the micro level) as a source of complexity.
SimCo has been designed as a framework to investigate governance issues and to discuss the following two items:
1. Risk management: Operational risk management of infrastructure systems typically aims at reducing undesirable external effects (e.g. pollution) or avoiding system breakdown (e.g. congestion) or even catastrophes (e.g. self-destruction of parts of the system).
2. System transformation: Political measures of system transformation typically promote a regime change (e.g. towards sustainable mobility), which mostly comprises/entails a fundamental new way of operating the system.
Road transportation serves as an example application of the abstract framework.
Release Notes
Basic release in parallel to publishing the corresponding article in “Journal of Artificial Societies and Social Simulation”.
Article published in issue 21/2: http://jasss.soc.surrey.ac.uk/21/2/2.html
Associated Publications
Simulation of the Governance of Complex Systems 1.1.0
Submitted byFabian AdeltPublished Mar 02, 2018
Last modified Mar 02, 2018
The simulation framework “Simulation of the Governance of Complex Systems” (SimCo) has been conceived as a general purpose framework that allows to model and to analyse interaction processes in networked systems which force agents to take into consideration the physical infrastructure (with nodes and edges) as an additional variable when making individual choices. It shall improve our understanding of how to control complex, network-like infrastructure systems (macro level)involving the interactions of a large number of strategic decision makers (autonomous agents at the micro level) as a source of complexity.
SimCo has been designed as a framework to investigate governance issues and to discuss the following two items:
1. Risk management: Operational risk management of infrastructure systems typically aims at reducing undesirable external effects (e.g. pollution) or avoiding system breakdown (e.g. congestion) or even catastrophes (e.g. self-destruction of parts of the system).
2. System transformation: Political measures of system transformation typically promote a regime change (e.g. towards sustainable mobility), which mostly comprises/entails a fundamental new way of operating the system.
Road transportation serves as an example application of the abstract framework.
Release Notes
Basic release in parallel to publishing the corresponding article in “Journal of Artificial Societies and Social Simulation”.
Article published in issue 21/2: http://jasss.soc.surrey.ac.uk/21/2/2.html
Cite this Model
Fabian Adelt, Johannes Weyer, Robin D Fink, Andreas Ihrig (2018, March 02). “Simulation of the Governance of Complex Systems” (Version 1.1.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/5924/releases/1.1.0/
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