| Research

The dynamical interactions of intelligent individuals oftentimes happen inside a social network architecture. These networks of social interactions are themselves dynamical entities that evolve together with the individuals that form them. These patterns of behavior at the individual and at the network levels are interesting manifestations of complex behavior. 

The collective decision making of socio-economic systems, composed of multiple interacting individuals with oftentimes purely personal and selfish intentions, is an emergent phenomenon. These collective action often arise out of local connections, and from individuals with different choices, conditions and thresholds, and criteria. Many such systems can therefore be modeled using games, where the emergent global characteristics result from strategic decisions at the individual level. 

Market dynamics are inherently difficult, if not impossible, to predict. The signatures left behind by these systems, however, can be viewed as emergent manifestations coming out of the collective dynamics at the individual-agent level. Our team combines the tools of complex systems, nonlinear time series analysis, and econophysics to simulate various real-world markets and other economic interactions.