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Paths to Unconventional Computing: Causality in Complexity

General Literature 2017-06-28 v1

Abstract

I describe my path to unconventionality in my exploration of theoretical and applied aspects of computation towards revealing the algorithmic and reprogrammable properties and capabilities of the world, in particular related to applications of algorithmic complexity in reshaping molecular biology and tackling the challenges of causality in science.

Keywords

Cite

@article{arxiv.1706.08803,
  title  = {Paths to Unconventional Computing: Causality in Complexity},
  author = {Hector Zenil},
  journal= {arXiv preprint arXiv:1706.08803},
  year   = {2017}
}

Comments

Extended version of an invited contribution to a special issue of the journal of Progress in Biophysics & Molecular Biology (Elsevier)

R2 v1 2026-06-22T20:30:56.258Z