Corpus ID: 218502272

A simple test for causality in complex systems

@article{Haaga2020AST,
  title={A simple test for causality in complex systems},
  author={Kristian Agas{\o}ster Haaga and David Diego and Jo Brendryen and Bjarte Hannisdal},
  journal={arXiv: Applications},
  year={2020}
}
We provide a new solution to the long-standing problem of inferring causality from observations without modeling the unknown mechanisms. We show that the evolution of any dynamical system is related to a predictive asymmetry that quantifies causal connections from limited observations. A built-in significance criterion obviates surrogate testing and drastically improves computational efficiency. We validate our test on numerous synthetic systems exhibiting behavior commonly occurring in nature… Expand
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