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The evolutionary dynamics of discurs...
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Leydesdorff, Loet.
The evolutionary dynamics of discursive knowledgecommunication-theoretical perspectives on an empirical philosophy of science /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The evolutionary dynamics of discursive knowledgeby Loet Leydesdorff.
Reminder of title:
communication-theoretical perspectives on an empirical philosophy of science /
Author:
Leydesdorff, Loet.
Published:
Cham :Springer International Publishing :2021.
Description:
x, 247 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
SociologyResearch.
Online resource:
https://doi.org/10.1007/978-3-030-59951-5
ISBN:
9783030599515
The evolutionary dynamics of discursive knowledgecommunication-theoretical perspectives on an empirical philosophy of science /
Leydesdorff, Loet.
The evolutionary dynamics of discursive knowledge
communication-theoretical perspectives on an empirical philosophy of science /[electronic resource] :by Loet Leydesdorff. - Cham :Springer International Publishing :2021. - x, 247 p. :ill., digital ;24 cm. - Qualitative and quantitative analysis of scientific and scholarly communication,2365-8371. - Qualitative and quantitative analysis of scientific and scholarly communication..
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.
ISBN: 9783030599515
Standard No.: 10.1007/978-3-030-59951-5doiSubjects--Topical Terms:
200061
Sociology
--Research.
LC Class. No.: HM571
Dewey Class. No.: 301.072
The evolutionary dynamics of discursive knowledgecommunication-theoretical perspectives on an empirical philosophy of science /
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communication-theoretical perspectives on an empirical philosophy of science /
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by Loet Leydesdorff.
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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.
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Open access.
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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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based on 0 review(s)
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000000194417
電子館藏
1圖書
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EB HM571 .L683 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-59951-5
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