Data-driven Discovery of Emergent Behaviors in Collective Dynamics

@article{Maggioni2019DatadrivenDO,
  title={Data-driven Discovery of Emergent Behaviors in Collective Dynamics},
  author={Mauro Maggioni and John R Miller and Ming Zhong},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.11123}
}
  • Mauro Maggioni, John R Miller, Ming Zhong
  • Published 2019
  • Mathematics, Computer Science, Physics
  • ArXiv
  • Particle- and agent-based systems are a ubiquitous modeling tool in many disciplines. We consider the fundamental problem of inferring interaction kernels from observations of agent-based dynamical systems given observations of trajectories, in particular for collective dynamical systems exhibiting emergent behaviors with complicated interaction kernels, in a nonparametric fashion, and for kernels which are parametrized by a single unknown parameter. We extend the estimators introduced in \cite… CONTINUE READING

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