Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution

• Felipe S. Abrahão,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliations Oxford Immune Algorithmics, Oxford University Innovation, Oxford, United Kingdom, Center for Logic, Epistemology and the History of Science, University of Campinas (UNICAMP), Brazil, DEXL, National Laboratory for Scientific Computing (LNCC), Brazil

  https://orcid.org/0000-0001-7314-6543

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• Santiago Hernández-Orozco,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Oxford Immune Algorithmics, Oxford University Innovation, Oxford, United Kingdom

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• Narsis A. Kiani,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliations Department of Oncology-Pathology, Center for Molecular Medicine, Karolinska Institutet, Sweden, Algorithmic Dynamics Lab, Center for Molecular Medicine, Karolinska Institutet, Sweden

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• Jesper Tegnér,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Living Systems Lab, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia

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• Hector Zenil

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: hector.zenil@kcl.ac.uk

  address: School of Biomedical Engineering and Imaging Sciences, King’s College London, United Kingdom

  Affiliations Oxford Immune Algorithmics, Oxford University Innovation, Oxford, United Kingdom, Algorithmic Dynamics Lab, Center for Molecular Medicine, Karolinska Institutet, Sweden, The Alan Turing Institute, British Library, London, United Kingdom, School of Biomedical Engineering and Imaging Sciences, King’s College London, United Kingdom, King’s Institute for Artificial Intelligence, King’s College London, United Kingdom

  https://orcid.org/0000-0003-0634-4384

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