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  • × author_ss:"Krebs, J."
  • × theme_ss:"Information"
  • × year_i:[2010 TO 2020}
  1. Krebs, J.: Uninformative Information? : Informationsübertragung als irreführende Leitmetapher der Informationsgesellschaft (2019) 0.01 
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    Abstract
    Die irreführende technologische Metapher der Informationsübertragung impliziert paradoxerweise uninformative Information. Dem steht jener Informationsbegriff gegenüber, der mit Wissen und Verstehen assoziiert ist. Informativ wird etwas nicht wegen etwas Übertragenem, sondern in Relation zu Interessen und Befähigungen verstehender Wesen. Jakob Krebs zeigt, dass ein aufgeklärtes Selbstverständnis der Informationsgesellschaft somit einer genaueren Bestimmung von Informativität bedarf. Die ist nicht nur philosophisch aufschlussreich, sondern auch für alle Praktiken des Kommunizierens, Lernens und Lehrens. Denn Information lässt sich genauso wenig übertragen wie sich eine Grippe ausschwitzen lässt.
    Pages
    330 S
  2. Krebs, J.: Information transfer as a metaphor (2014) 0.00 
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    Abstract
    An intuitive understanding of information concerns the means by which knowledge is acquired. This notion corresponds to an instantiation of the complementary properties of 'being informative' and 'being informed'. It is in this intuitive sense that the term 'information' is used in many accounts of verbal communication and explicit learning. But the term is furthermore prominent in accounts of genetics, neurobiology and cognitive science, as well as in communications engineering, and computer sciences. In view of this transdisciplinary use of the word 'information', some theoreticians hope for a unified conception that would serve as a common denominator in interdisciplinary investigations. According to this promise, we would then be equipped with a singular conceptional grasp on physical and genetic structures, on neuronal patterns as well as on cognitive and communicative events. Unfortunately, a unified concept of information is far from being spelled out, since many of the disciplines mentioned above follow quite different approaches. Even in the context of 'information science' itself, extensive differences prevail on the notions of data, information and knowledge and their conceptual interconnections. But if we detect not a single but various conceptions of information, we should not expect a single but various theories of information - a point made by Claude Shannon long before the transdisciplinary implementation of his mathematical theory. When one or the other 'theory of information' gets implemented into theories of communication or learning, for example, these theories thereby inherit one particular conception of information.
    Pages
    S.29-40

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