4 citations · 9 across the 4 of their papers we have counts for
4 papers
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces
Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel +3
We show how complexity theory can be introduced in machine learning to help bring together apparently disparate areas of current research. We show that this new approach requires l…
Rule Primality, Minimal Generating Sets, Turing-Universality and Causal Decomposition in Elementary Cellular Automata
Jürgen Riedel, Hector Zenil
We introduce several concepts such as prime and composite rule, tools and methods for causal composition and decomposition. We discover and prove new universality results in ECA, n…
Asymptotic Intrinsic Universality and Reprogrammability by Behavioural Emulation
Hector Zenil, Jürgen Riedel
We advance a Bayesian concept of 'intrinsic asymptotic universality' taking to its final conclusions previous conceptual and numerical work based upon a concept of a reprogrammabil…
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…