Downloads provided by UsageCounts
handle: 10234/94512 , 10278/3691398 , 11567/698117
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.
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
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
| selected citations These citations are derived from selected sources. 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). | 29 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 68 | |
| downloads | 38 |

Views provided by UsageCounts
Downloads provided by UsageCounts