HIERATIC
Hierarchical Analysis of Complex Dynamical Systems
| Coordinatore | THE UNIVERSITY OF BIRMINGHAM
Organization address
address: Edgbaston contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 2˙429˙435 € |
| EC contributo | 1˙899˙967 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2011-8 |
| Funding Scheme | CP |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-10-01 - 2015-09-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
THE UNIVERSITY OF BIRMINGHAM
Organization address
address: Edgbaston contact info |
UK (BIRMINGHAM) | coordinator | 0.00 |
| 2 |
CHALMERS TEKNISKA HOEGSKOLA AB
Organization address
address: - contact info |
SE (GOETEBORG) | participant | 0.00 |
| 3 |
FRIEDRICH-SCHILLER-UNIVERSITAT JENA
Organization address
address: FUERSTENGRABEN contact info |
DE (JENA) | participant | 0.00 |
| 4 |
THE UNIVERSITY OF SHEFFIELD
Organization address
address: FIRTH COURT WESTERN BANK contact info |
UK (SHEFFIELD) | participant | 0.00 |
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Obiettivo del progetto (Objective)
The central aim of HIERATIC is to develop a new framework for understanding complex systems as a multi-level hierarchy of sub-systems using non-linear decompositions.nnTo achieve this goal, HIERATIC is structured in three interlinked sets of activities: theoretical work, deriving the novel mathematics required to identify suitable non-linear state space reductions of complex systems; software development of efficient multi-scale simulation and prediction libraries; demonstrators, illustrating the power of our results – network dynamics, cell cycle simulations, social interactions in animals.nnThe theoretical work will use unconventional approaches from topology and dynamical systems theory to derive an algorithmic approach to identifying 'coarse-grainings' of large complex systems. These algorithms will be used to develop highly efficient simulation and prediction tools, integrated with the world-leading software libraries MASON and PRISM. The demonstrators will show the potential application of these techniques, in a range of applications, including validation on large empirical data sets.nnThe project brings together leading researchers in complex systems theory, biosystems, multi-agent simulation, and experimental ecology, from around the EU and USA.