Algorithmic Dynamics Lab

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The Online Algorithmic Complexity Calculator (OACC)
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The Block Decomposition Method
(extending the power of CTM c.f. below)


Wolfram Language (Mathematica)
(1D and 2D
both w/overlapping options)​
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​R
(1D and 2D)
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​Matlab
(1D, 2D and smooth)
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​​Perl
(2D)
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​C++
(2D)


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​Haskell
(2D)
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​Pybdm
(Python)
(1D and 2D)




Pascal
(2D)

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The Coding Theorem Method
(numerical approximations to algorithmic probability and thus algorithmic complexity)



​1D Turing machine
(C++)
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(enumeration code, exhaustive and random exploration)
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​2D Turing machine
(C++)

(exhaustive and random exploration)
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​3D Turing machine (soon)
(C++)






1D Logical Depth
(C++)
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Algorithmic Information Dynamics
(our algorithmic causal calculus and the basis of algorithmic machine intelligence)

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pybdm
(Python)



algodyn
(R)

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Contributors:

  • Dr. Hector Zenil @ Oxford, Karolinska Institute &SciLifeLab (Wolfram Language/Mathematica, CTM C++, Perl, first Python, Pascal)
  • Dr. Fernando Soler-Toscano @ University of Seville (BDM and CTM C++)
  • Dr. Nicolas Gauvrit @ Paris University & ESPE (R and acss package)
  • Dr. Narsis A. Kiani @ Karolinska Institute & SciLifeLab (BDM 2D Matlab)
  • Dr. Henrik Singmann @ Freiburg & Zurich (R, Shiny and acss package)
  • Dr. Gregory Scott @ Imperial College (BDM 1D Matlab)
  • Dr. Santiago Hernández @ UNAM (BDM Haskell, C++)
  • MSc Antonio Rueda-Toicen @ UCV (R functions, Shiny)
  • Zachary Robertson @ University of Chicago (BDM 1D Python)
  • Szymon Talaga @ University of Warsaw (pybdm)
  • Konstantinos Tsampourakis @ Washington State University (pybdm)
  • Gabriel Goren Roig  @ University of Buenos Aires (BDM 2D Python)
  • Allan Zea (algodyn)

Disclaimer and Data Usage Policy:Users have a non-exclusive, non-transferable right to use data files for internal, research and educational purposes provided they cite the source and acknowledge the authors. The executable, source and data files are experimental and academic in nature and are not licensed or certified by any regulatory body. The Algorithmic Dynamics Lab provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied).
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