An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems

no code implementations • 15 Sep 2017 • Hector Zenil, Narsis A. Kiani, Francesco Marabita, Yue Deng, Szabolcs Elias, Angelika Schmidt, Gordon Ball, Jesper Tegnér

We demonstrate that the algorithmic information content of a system is deeply connected to its potential dynamics, thus affording an avenue for moving systems in the information-theoretic space and controlling them in the phase space.

Causal Discovery Dimensionality Reduction +1

Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system

no code implementations • 24 Aug 2015 • Hector Zenil, Angelika Schmidt, Jesper Tegnér

Here we further unpack ideas related to computability, algorithmic information theory and software engineering, in the context of the extent to which biology can be (re)programmed, and with how we may go about doing so in a more systematic way with all the tools and concepts offered by theoretical computer science in a translation exercise from computing to molecular biology and back.