Rationale beyond DyM-CS: Many artificial and natural systems are characterised by a high level of differentiation in structure and organisation; they exist in areas as diverse as the Internet, energy management, climate, financial markets, infrastructures (including ICT), biology, transport, epidemics, meteorology, urban planning, social simulation and policy impact assessment. In order to describe and control these systems there is a need to observe and reconstruct their dynamics and make sense of large amounts of heterogeneous data gathered on various scales. Objectives of DyM-CS: New mathematical and computational formalism on dynamics of multi-level systems developed and validated on real-world applications involving large and heterogeneous data sets Progress towards a general theory on complex systems New ICT-based methods and principles for the management of large scale systems, including ICT systems themselves
Dynamics of Multilevel Complex Systems
MERELLI, Emanuela;
2014-01-01
Abstract
Rationale beyond DyM-CS: Many artificial and natural systems are characterised by a high level of differentiation in structure and organisation; they exist in areas as diverse as the Internet, energy management, climate, financial markets, infrastructures (including ICT), biology, transport, epidemics, meteorology, urban planning, social simulation and policy impact assessment. In order to describe and control these systems there is a need to observe and reconstruct their dynamics and make sense of large amounts of heterogeneous data gathered on various scales. Objectives of DyM-CS: New mathematical and computational formalism on dynamics of multi-level systems developed and validated on real-world applications involving large and heterogeneous data sets Progress towards a general theory on complex systems New ICT-based methods and principles for the management of large scale systems, including ICT systems themselvesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
