Search (10 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Information"
  • × year_i:[2010 TO 2020}
  1. Swigon, M.: Information limits : definition, typology and types (2011) 0.01 
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    Date
    12. 7.2011 18:22:52
  2. Leydesdorff, L.; Ivanova, I.A.: Mutual redundancies in interhuman communication systems : steps toward a calculus of processing meaning (2014) 0.01 
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    Abstract
    The study of interhuman communication requires a more complex framework than Claude E. Shannon's (1948) mathematical theory of communication because "information" is defined in the latter case as meaningless uncertainty. Assuming that meaning cannot be communicated, we extend Shannon's theory by defining mutual redundancy as a positional counterpart of the relational communication of information. Mutual redundancy indicates the surplus of meanings that can be provided to the exchanges in reflexive communications. The information is redundant because it is based on "pure sets" (i.e., without subtraction of mutual information in the overlaps). We show that in the three-dimensional case (e.g., of a triple helix of university-industry-government relations), mutual redundancy is equal to mutual information (Rxyz = Txyz); but when the dimensionality is even, the sign is different. We generalize to the measurement in N dimensions and proceed to the interpretation. Using Niklas Luhmann's (1984-1995) social systems theory and/or Anthony Giddens's (1979, 1984) structuration theory, mutual redundancy can be provided with an interpretation in the sociological case: Different meaning-processing structures code and decode with other algorithms. A surplus of ("absent") options can then be generated that add to the redundancy. Luhmann's "functional (sub)systems" of expectations or Giddens's "rule-resource sets" are positioned mutually, but coupled operationally in events or "instantiated" in actions. Shannon-type information is generated by the mediation, but the "structures" are (re-)positioned toward one another as sets of (potentially counterfactual) expectations. The structural differences among the coding and decoding algorithms provide a source of additional options in reflexive and anticipatory communications.
  3. Rodrigo, A.; Peñas, A.; Miyao, Y.; Kando, N.: Do systems pass university entrance exams? (2018) 0.01 
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  4. Badia, A.: Data, information, knowledge : an information science analysis (2014) 0.01 
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    Date
    16. 6.2014 19:22:57
  5. Malsburg, C. von der: Concerning the neuronal code (2018) 0.01 
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    Date
    27.12.2020 16:56:22
  6. Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014) 0.01 
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    Date
    22. 8.2014 16:55:39
  7. Leydesdorff, L.; Johnson, M.W.; Ivanova, I.: Toward a calculus of redundancy : signification, codification, and anticipation in cultural evolution (2018) 0.01 
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    Date
    29. 9.2018 11:22:09
  8. Albright, K.: Multidisciplinarity in information behavior : expanding boundaries or fragmentation of the field? (2010) 0.01 
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    Date
    16. 3.2019 17:32:22
  9. Allo, P.; Baumgaertner, B.; D'Alfonso, S.; Fresco, N.; Gobbo, F.; Grubaugh, C.; Iliadis, A.; Illari, P.; Kerr, E.; Primiero, G.; Russo, F.; Schulz, C.; Taddeo, M.; Turilli, M.; Vakarelov, O.; Zenil, H.: ¬The philosophy of information : an introduction (2013) 0.01 
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  10. Huvila, I.: Situational appropriation of information (2015) 0.01 
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    Date
    20. 1.2015 18:30:22

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