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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Large-Scale Modeling of Economic Systems

Authors: Mike Holcombe; Simon Coakley; Mariam Kiran; Lee Shawn Chin; Chris Greenough; David Worth; Silvano Cincotti; +8 Authors

Large-Scale Modeling of Economic Systems

Abstract

Following the events of the credit crunch and the onset of a global recession, alternative ways of modeling modern economies and mechanisms for carrying out policy analysis are now an urgent priority. Traditional mathematical economics is widely viewed to have been compromised through gross simplifications with many assumptions that are now seen to be unjustified. New ways of looking at economics that are more grounded in reality are required, and agent-based computational economics is now receiving a lot of attention. Although the ideas are not new, the previous attempts to use this approach have been largely limited by the inability to model realistically large systems with millions of complex agents. Without this capability, the usefulness of the approach is limited. The EU-STREP project EURACE brought together a consortium of leading economists, experts in parallel supercomputing, and the designers of the FLAME framework to build the largest and most complete model of the European Union economy ever built.

Countries
Spain, Italy, Italy, Germany
Keywords

Mathematical economics, European union, Agent-based computational economics, agent-based modelling, Control and Systems Engineering; Computer Science (all), Parallel supercomputing, Large-scale modeling, Policy analysis, ETACE_Agent_Based_Modelling, Complex agent, Global recession

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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