Can Cybersemiotics Solve the Problem of Informational Transdisciplinarity?

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedings

A transdisciplinary theory for cognition and communication has at least to be described from the following paradigms 1. An objective information processing view or info-mechanicism because it fits the findings and demands of the natural and technical sciences; 2. A social constructivist view, because it fits the findings and demands of the social sciences focusing on communication and culture; 3. A systemic cybernetic view as it relates to general system theory’s emergent evolution theory, Bateson’s pattern that connects all living beings and the autopoietic nature of living organisms, which makes them resistant to the transference of objective information; 4. A Peircean semiotic paradigm including biosemiotic, because it has a realist hermeneutical concept of meaningful communication with a phenomenological foundation encompasses all living beings. But, each approach has its transdisciplinary shortcomings. Is it possible consistently to integrate these approaches into a transdisciplinary framework that integrate phenomenological and hermeneutical aspect in for instance Peircean semiotic logic with cybernetic and systemic autopoietic emergentist process-informational view of which Cybersemiotics is one attempt?

Publication information

Original languageEnglish
Title of host publicationProceedings of the Digitalisation for a Sustainable Society. IS4SI 2017 : Embodied, Embedded, Networked, Empowered through Information, Computation & Cognition
Number of pages3
Place of PublicationBasel
Publication date2017
Article number196
StatePublished - 2017
EventDigitalisation for a Sustainable Society - Chalmers Conference Center, Gothenburg, Sweden
Duration: 12 Jun 201716 Jun 2017


ConferenceDigitalisation for a Sustainable Society
LocationChalmers Conference Center
AndetThe International Society for Information Studies Summit 2017

Bibliographical note

Extended abstract

    Research areas

  • Transdisciplinary models, Cybersemiotics, Info-computationalism

ID: 46787164