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{ "item_title" : "The Evolutionary Dynamics of Discursive Knowledge", "item_author" : [" Loet Leydesdorff "], "item_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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/059/950/3030599507_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Evolutionary Dynamics of Discursive Knowledge|Loet Leydesdorff

The Evolutionary Dynamics of Discursive Knowledge : Communication-Theoretical Perspectives on an Empirical Philosophy of Science

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Overview

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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Details

  • ISBN-13: 9783030599508
  • ISBN-10: 3030599507
  • Publisher: Springer
  • Publish Date: January 2021
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.19 pounds
  • Page Count: 247

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