Intellectual hub of the topic

complex systems modeling

Studying the mechanisms that govern the behavior of large-scale structures – from climate processes and economic markets to biological populations and neural networks – requires a rejection of oversimplification. In this collection, we focus on a methodology that allows for predicting the emergent properties of systems where the whole is always something greater than the sum of its parts. Here, you will find materials dedicated to mathematical toolsets, agent-based modeling, and the analysis of dynamical chaos.

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