Network and Agent Dynamics with Evolving Protection against Systemic Risk
The dynamics of protection processes has been a fundamental challenge in systemic risk analysis. The conceptual principle and methodological techniques behind the mechanisms involved (in such dynamics) have been harder to grasp than researchers understood them to be. In this paper, we show how to co...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/2989242 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832567479394631680 |
|---|---|
| author | Chulwook Park |
| author_facet | Chulwook Park |
| author_sort | Chulwook Park |
| collection | DOAJ |
| description | The dynamics of protection processes has been a fundamental challenge in systemic risk analysis. The conceptual principle and methodological techniques behind the mechanisms involved (in such dynamics) have been harder to grasp than researchers understood them to be. In this paper, we show how to construct a large variety of behaviors by applying a simple algorithm to networked agents, which could, conceivably, offer a straightforward way out of the complexity. The model starts with the probability that systemic risk spreads. Even in a very random social structure, the propagation of risk is guaranteed by an arbitrary network property of a set of elements. Despite intensive systemic risk, the potential of the absence of failure could also be driven when there has been a strong investment in protection through a heuristically evolved protection level. It is very interesting to discover that many applications are still seeking the mechanisms through which networked individuals build many of these protection processes or mechanisms based on fitness due to evolutionary drift. At the same time, this approach could be useful for researchers and those who need to use protection dynamics to guard against systemic risk under intrinsic randomness in artificial circumstances. |
| format | Article |
| id | doaj-art-cd49a47513d3439ca7ce5a4564ebf496 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-cd49a47513d3439ca7ce5a4564ebf4962025-02-03T01:01:32ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/29892422989242Network and Agent Dynamics with Evolving Protection against Systemic RiskChulwook Park0Department of Evolution and Ecology, International Institute for Applied Systems Analysis, A-2361 Laxenburg, AustriaThe dynamics of protection processes has been a fundamental challenge in systemic risk analysis. The conceptual principle and methodological techniques behind the mechanisms involved (in such dynamics) have been harder to grasp than researchers understood them to be. In this paper, we show how to construct a large variety of behaviors by applying a simple algorithm to networked agents, which could, conceivably, offer a straightforward way out of the complexity. The model starts with the probability that systemic risk spreads. Even in a very random social structure, the propagation of risk is guaranteed by an arbitrary network property of a set of elements. Despite intensive systemic risk, the potential of the absence of failure could also be driven when there has been a strong investment in protection through a heuristically evolved protection level. It is very interesting to discover that many applications are still seeking the mechanisms through which networked individuals build many of these protection processes or mechanisms based on fitness due to evolutionary drift. At the same time, this approach could be useful for researchers and those who need to use protection dynamics to guard against systemic risk under intrinsic randomness in artificial circumstances.http://dx.doi.org/10.1155/2020/2989242 |
| spellingShingle | Chulwook Park Network and Agent Dynamics with Evolving Protection against Systemic Risk Complexity |
| title | Network and Agent Dynamics with Evolving Protection against Systemic Risk |
| title_full | Network and Agent Dynamics with Evolving Protection against Systemic Risk |
| title_fullStr | Network and Agent Dynamics with Evolving Protection against Systemic Risk |
| title_full_unstemmed | Network and Agent Dynamics with Evolving Protection against Systemic Risk |
| title_short | Network and Agent Dynamics with Evolving Protection against Systemic Risk |
| title_sort | network and agent dynamics with evolving protection against systemic risk |
| url | http://dx.doi.org/10.1155/2020/2989242 |
| work_keys_str_mv | AT chulwookpark networkandagentdynamicswithevolvingprotectionagainstsystemicrisk |