Complex systems are composed by several components nonlinearly connected to each other. The resulting dynamics may show emergent and unexpected phenomena. In this framework, we study the dynamics of multiagent systems, described by mathematical models which embed a network of connections. The evolution of each node of the network can be described by a dynamic system grounded on game theory or by other kind of equations. In the first case, we are investigating 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 for describing the dynamical behavior of human brain as the result of the competitive interactions of the brain regions. Other kind of equations are under investigation for dealing with decision-making problems related to heterogeneous and interconnected real systems.
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