@article{1430937,
      recid = {1430937},
      author = {Leydesdorff, Loet},
      title = {The evolutionary dynamics of discursive knowledge :  communication-theoretical perspectives on an empirical  philosophy of science /},
      pages = {1 online resource (x, 247 pages) :},
      abstract = {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.},
      url = {http://library.usi.edu/record/1430937},
      doi = {https://doi.org/10.1007/978-3-030-59951-5},
}