صورة الغلاف المحلية
صورة الغلاف المحلية
عرض عادي

The evolutionary dynamics of discursive knowledge : communication-theoretical perspectives on an empirical philosophy of science / Loet Leydesdorff

بواسطة:نوع المادة : نصنصالسلاسل:Qualitative and Quantitative Analysis of Scientific and Scholarly Communicationالناشر:Cham, Switzerland : Springer, 2021وصف:1 online resource (x, 247 pages) : illustrations (some color)نوع المحتوى:
  • text
نوع الوسائط:
  • computer
نوع الناقل:
  • online resource
تدمك:
  • 9783030599515
  • 3030599515
  • 9783030599508
الموضوع:النوع/الشكل:تصنيف مكتبة الكونجرس:
  • HM571
موارد على الانترنت:
المحتويات:
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
ملخص: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
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رابط URL حالة تاريخ الإستحقاق الباركود
مصدر رقمي مصدر رقمي UAE Federation Library | مكتبة اتحاد الإمارات Online Copy | نسخة إلكترونية رابط إلى المورد لا يعار

Includes bibliographical references and indexes

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

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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