85 citations · 742 across the 80 of their papers we have counts for
9 papers · 1 filter
Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks
Narsis A. Kiani, Hector Zenil, Jakub Olczak +1
Network inference is a rapidly advancing field, with new methods being proposed on a regular basis. Understanding the advantages and limitations of different network inference meth…
Cross-boundary Behavioural Reprogrammability Reveals Evidence of Pervasive Universality
Jürgen Riedel, Hector Zenil
We exhaustively explore the reprogrammability capabilities and the intrinsic universality of the Cartesian product of the space of all possible computer programs o…
Natural scene statistics mediate the perception of image complexity
Nicolas Gauvrit, Fernando Soler-Toscano, Hector Zenil
Humans are sensitive to complexity and regularity in patterns. The subjective perception of pattern complexity is correlated to algorithmic (Kolmogorov-Chaitin) complexity as defin…
Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results
Hector Zenil, James A. R. Marshall, Jesper Tegnér
Being able to objectively characterise the intrinsic complexity of behavioural patterns resulting from human or animal decisions is fundamental for deconvolving cognition and desig…
Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system
Hector Zenil, Angelika Schmidt, Jesper Tegnér
Biology has taken strong steps towards becoming a computer science aiming at reprogramming nature after the realisation that nature herself has reprogrammed organisms by harnessing…
Rare Speed-up in Automatic Theorem Proving Reveals Tradeoff Between Computational Time and Information Value
Santiago Hernández-Orozco, Francisco Hernández-Quiroz, Hector Zenil +1
We show that strategies implemented in automatic theorem proving involve an interesting tradeoff between execution speed, proving speedup/computational time and usefulness of infor…