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Information, Meaning and Eigenforms: In the Light of Sociology, Agent-Based Modeling and AI
Institute for Systems Science, Innovation & Sustainability Research, University of Graz, Graz 8010, Austria
Received: 28 March 2012; in revised form: 23 July 2012 / Accepted: 31 July 2012 / Published: 14 August 2012
Abstract: The paper considers the relation of Shannon-type information to those semantic and hermeneutic aspects of communication, which are often referred to as meaning. It builds on considerations of Talcott Parsons, Niklas Luhmann and Robert K. Logan and relates them to an agent-based model that reproduces key aspects of the Talking Head experiment by Luc Steels. The resulting insights seem to give reason to regard information and meaning not as qualitatively different entities, but as interrelated forms of order that emerge in the interaction of autonomous (self-referentially closed) agents. Although on first sight, this way of putting information and meaning into a constructivist framework seems to open possibilities to conceive meaning in terms of Shannon-information, it also suggests a re-conceptualization of information in terms of what cybernetics calls Eigenform in order to do justice to its dynamic interrelation with meaning.
Keywords: Shannon-type information; meaning; communication; multi-agent simulation; constructivism
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MDPI and ACS Style
Füllsack, M. Information, Meaning and Eigenforms: In the Light of Sociology, Agent-Based Modeling and AI. Information 2012, 3, 331-343.
Füllsack M. Information, Meaning and Eigenforms: In the Light of Sociology, Agent-Based Modeling and AI. Information. 2012; 3(3):331-343.
Füllsack, Manfred. 2012. "Information, Meaning and Eigenforms: In the Light of Sociology, Agent-Based Modeling and AI." Information 3, no. 3: 331-343.