This repository contains code relating to the following in-silico experiments:

• Algorithmic Classification (Mathematica Notebooks and Wolfram Languaje for .txt versions):

  • ECAClassification.nb: Algorithmic and NN classification of Elemental Cellular Automatons according to its evolution.
  • ECAInitialization.nb: Algorithmic and NN classification of Elemental Cellular Automatons according to its initial state.
  • KNConnectivity.nb: Algorithmic and NN classification of NK networks according to k.
  • KNTopologyAndRules.nb: Algorithmic and NN classification of NK networks according to its topology and underlying set of rules.
    • Data files:
    • dataB6-4v2.m: Data base of number of relations of input-> output for ECA.
    • rulesN4K2.m: Data base of number of relations of input-> output for NK rules.
    • topoN4K2.m: Data base of number of relations of input-> output for NK topologies.
    • D5.m: Data base for string BDM.

• Algorithmic Weighting (Jupyter Notebooks, Python)

  • SpeedSaltedFinalV1.ipynb: Improving classifications on a corrupted version of MNIST using algorithmic weighing.
  • SurfaceFinalV2.ipynb: Further visualization of the improvements from the corrupted version of MNIST using algorithmic weakening.
    • Data and Extra files:
    • BDM.py : A Python implementation of BDM by Zachary Robertson.
    • D5.CSV, K-10.json, K-12m.json, K-3.json, K-4x4.json, K-5.json, K-6.json, K-9.json: Files for BDM.py

• ConditionalBDM (Mathematica Notebook and Wolfram Languaje for .txt versions):

  • StringConditionalExperimentsV6.nb: Numerical exploration of the properties of coarse conditional BDM.
    • Data files:
    • D5.m: Data base for string BDM.