JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems

  title={JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems},
  author={Joseph T. Lizier},
  journal={Front. Robotics and AI},
Complex systems are increasingly being viewed as distributed information processing systems, particularly in Artificial Life, machine learning, computational neuroscience and bioinformatics. This trend has resulted in a strong uptake of information-theoretic measures to analyse the dynamics of complex systems in these fields. This tutorial will briefly review the use of these measures as applied to complex systems, and then introduce participants to a software toolkit for conducting such… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 86 references

Robotics and Biomimetics (ROBIO) (Guangzhou

  • M. Nilsson, W. B. Kleijn
  • 2007
Highly Influential
10 Excerpts

Efficient estimation of information transfer,

  • R. Vicente, M. Wibral
  • 2014
Highly Influential
3 Excerpts

Mutual Information Least-Dependent Component Analysis (MILCA)

  • S. Astakhov, P. Grassberger, A. Kraskov, H. Stögbauer
  • 2013
Highly Influential
3 Excerpts

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