{
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  "title": "The Evolutionary Dynamics of Discursive Knowledge",
  "subtitle": null,
  "slug": "the-evolutionary-dynamics-of-discursive-knowledge",
  "url": "https://www.bookquiver.com/loet-leydesdorff/the-evolutionary-dynamics-of-discursive-knowledge",
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  "authors": [
    {
      "name": "Loet Leydesdorff",
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  "first_published": "2021-01-01",
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  "description": "This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.",
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      "title": "The Evolutionary Dynamics of Discursive Knowledge",
      "subtitle": null,
      "url": "https://www.bookquiver.com/loet-leydesdorff/the-evolutionary-dynamics-of-discursive-knowledge/9783030599508",
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      "isbn": "978-30-3059-950-8",
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