Research area: Control Systems
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Complex Systems Webpage Complex systems are composed of several components that are nonlinearly connected. The resulting dynamics may show emergent and unexpected phenomena. In this framework, we study the dynamics of multiagent systems, described by mathematical models that embed a network of connections. The evolution of each network node can be characterized by a dynamic system grounded on game theory or other equations. In the first case, we investigate the interplay between social pressure and self-regulating mechanisms as a fundamental ingredient for promoting cooperation in a society. A similar model has been applied to describe the dynamical behavior of the human brain as the result of the competitive interactions of the brain regions. Other systems of equations are under investigation for dealing with decision-making problems related to heterogeneous and interconnected real systems, such for example the epidemic spreading. Finally, we apply agent-based modeling to account for people's behavior to promote sustainable behavior among the citizens of Italian cities, such as Siena. |
| ERC Keywords LS2_13 Systems biology LS2_14 Biological systems analysis, modelling and simulation LS6_2 Adaptive immunity LS8_2 Population biology, population dynamics, population genetics, plant-animal interactions PE1_10 ODE and dynamical systems PE1_19 Control theory and optimization PE1_20 Application of mathematics in sciences PE2_15 Non-linear physics |
| People | |
| Associate Professors: | |
| External Professors: |
Dario Madeo |
| PhD Students: |
Iacopo Caporossi, Vittoria Socci |
| External Fellows: | Luis Comolli, Giovanna Maria Dimitri, Alessandro Giuliani, Giulio Iacobelli, Jean Carlo De Moraes, Dario Madeo, Sergio Salvatore, Emiliano Sparacino, Agostino Talarico, Jorge Passamani Zubelli |