{
  "id": "2304.14877",
  "version": "v1",
  "published": "2023-04-28T14:35:54.000Z",
  "updated": "2023-04-28T14:35:54.000Z",
  "title": "Self-Organization, Evolutionary Entropy and Directionality Theory",
  "authors": [
    "Lloyd A. Demetrius"
  ],
  "categories": [
    "cond-mat.stat-mech",
    "physics.bio-ph",
    "q-bio.PE"
  ],
  "abstract": "Self-organization is the autonomous assembly of a network of interacting components into a stable, organized pattern. This article shows that the process of self-assembly can be encoded in terms of evolutionary entropy, a statistical measure of the cooperativity of the interacting components. Evolutionary entropy describes the rate at which a network of interacting metabolic units convert an external energy source into mechanical energy and work. We invoke Directionality Theory, an analytic model of Darwinian evolution to analyze self-assembly as a variation-selection process, and to derive a general tenet, namely, the Entropic Principle of Self-Organization: The equilibrium states of a self-organizing process are states which maximize evolutionary entropy, contingent on the production rate of the external energy source. This principle is a universal rule, applicable to the self-assembly of structures ranging from the folding of proteins, to branching morphogenesis, and the emergence of social organization. The principle also elucidates the origin of cellular life: the transition from inorganic matter to the emergence of cells, capable of replication and metabolism.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-04-28T14:35:54.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "self-organization",
      "external energy source",
      "interacting components",
      "invoke directionality theory",
      "interacting metabolic units convert"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}