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The Evolutionary Dynamics of Discursive Knowledge [electronic resource] : Communication-Theoretical Perspectives on an Empirical Philosophy of Science / by Loet Leydesdorff.

By: Contributor(s): Material type: TextTextSeries: Qualitative and Quantitative Analysis of Scientific and Scholarly CommunicationPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: X, 247 p. 50 illus., 30 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030599515
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 301.01 23
LOC classification:
  • HM511-538
Online resources:
Contents:
Knowledge-Based Innovations and Social Coordination -- The Communication Perspective as an Empirical Philosophy of Science -- Scientific Communication and Cognitive Codification -- The Semantics of Shannon-type Information -- Relations, Positions, and Perspectives on Innovation -- Synergy in a Triple Helix of University-Industry-Government Relations -- Regions, Innovations, and the North-South Divide in Italy -- Horizons of Meaning in Anticipatory Systems -- The Generation of Redundancy against the Arrow of Time -- Codification and Anticipation in Techno-Cultural Evolutions -- Inter-Human Communications and the Possibility of Science -- Subject Index -- Author Index -- Bibliography.
In: Springer Nature eBookSummary: This open access book have three themes 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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Knowledge-Based Innovations and Social Coordination -- The Communication Perspective as an Empirical Philosophy of Science -- Scientific Communication and Cognitive Codification -- The Semantics of Shannon-type Information -- Relations, Positions, and Perspectives on Innovation -- Synergy in a Triple Helix of University-Industry-Government Relations -- Regions, Innovations, and the North-South Divide in Italy -- Horizons of Meaning in Anticipatory Systems -- The Generation of Redundancy against the Arrow of Time -- Codification and Anticipation in Techno-Cultural Evolutions -- Inter-Human Communications and the Possibility of Science -- Subject Index -- Author Index -- Bibliography.

Open Access

This open access book have three themes 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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