March 19, 2019 Software Open Access

Miguel A. Fortuna

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{
  "description": "<p>Configuration files and data set used in the following study: \"<strong>Non-adaptive origins of evolutionary innovations increase network complexity in interacting digital organisms</strong>\", published in the special issue of <em>Philosophical Transactions of the Royal Society of London B</em>. entitled \"<em>Innovations: from cells to societies</em>\" (2017).</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "evolutionary forecasting", 
      "@type": "Person", 
      "name": "Miguel A. Fortuna"
    }
  ], 
  "url": "https://zenodo.org/record/2598211", 
  "codeRepository": "https://github.com/miguelfortuna/avida_host-parasite/tree/1.0", 
  "datePublished": "2019-03-19", 
  "version": "1.0", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.2598211", 
  "@id": "https://doi.org/10.5281/zenodo.2598211", 
  "@type": "SoftwareSourceCode", 
  "name": "miguelfortuna/avida_host-parasite: Non-adaptive origins of evolutionary innovations increase network complexity in interacting digital organisms"
}