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Prospects for large-scale financial systems simulation

Prospects for large-scale financial systems simulation
Prospects for large-scale financial systems simulation
As the 21st century unfolds, we find ourselves having to control, support, manage or otherwise cope with large-scale complex adaptive systems to an extent that is unprecedented in human history. Whether we are concerned with issues of food security, infrastructural resilience, climate change, health care, web science, security, or financial stability, we face problems that combine scale, connectivity, adaptive dynamics, and criticality. Complex systems simulation is emerging as the key scientific tool for dealing with such complex adaptive systems. Although a relatively new paradigm, it is one that has already established a track record in fields as varied as ecology (Grimm and Railsback, 2005), transport (Nagel et al., 1999), neuroscience (Markram, 2006), and ICT (Bullock and Cliff, 2004). In this report, we consider the application of simulation methodologies to financial systems, assessing the prospects for continued progress in this line of research.
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3
Bullock, Seth
2ad576e4-56b8-4f31-84e0-51bd0b7a1cd3

Bullock, Seth (2011) Prospects for large-scale financial systems simulation

Record type: Monograph (Project Report)

Abstract

As the 21st century unfolds, we find ourselves having to control, support, manage or otherwise cope with large-scale complex adaptive systems to an extent that is unprecedented in human history. Whether we are concerned with issues of food security, infrastructural resilience, climate change, health care, web science, security, or financial stability, we face problems that combine scale, connectivity, adaptive dynamics, and criticality. Complex systems simulation is emerging as the key scientific tool for dealing with such complex adaptive systems. Although a relatively new paradigm, it is one that has already established a track record in fields as varied as ecology (Grimm and Railsback, 2005), transport (Nagel et al., 1999), neuroscience (Markram, 2006), and ICT (Bullock and Cliff, 2004). In this report, we consider the application of simulation methodologies to financial systems, assessing the prospects for continued progress in this line of research.

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Published date: 2011
Additional Information: [This report was commissioned by the Foresight Programme of the UK's Government Office for Science. However, its findings are independent of government and do not constitute government policy.]
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 272759
URI: http://eprints.soton.ac.uk/id/eprint/272759
PURE UUID: 79b857ad-c965-47d9-a1e6-37d9e1b58fc1

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Date deposited: 09 Sep 2011 13:42
Last modified: 14 Mar 2024 10:09

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