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A Stylized Model of Individual-Society Interaction Based on Luhmann’s Theory

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Multi-Agent Based Simulation XVIII (MABS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10798))

Abstract

The computational modeling and simulation of social phenomena based on social theory as a theoretical framework is a challenging endeavor. Mainly, due to the difficulties to translate abstract conceptualizations of the social sciences into formal languages. The main goal of this paper is the translation of some Luhmann’s concepts such as perturbation, dissipation, social communication and power, into a model using a spatial social subsystem as a metaphor, to make more concrete these very abstract concepts. The model has been used to improve the social theory understanding and to evaluate the effect of different parameterization in the global stabilization and authorities’ distribution. It has been designed to comply with the Luhmann’s social theory, and to be scalable and simple to understand. The experiment implemented one instantiation of the proposed model and showed how it can be used to evaluate a micro-macro interaction based on a simple mechanism of Luhmannian social communication.

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Authors and Affiliations

  1. Embrapa Tabuleiros Costeiros, Brazilian Agricultural Research Corporation, Av. Beira Mar, 3250, Aracaju, SE, 49040-025, Brazil

    Marcos Aurélio Santos da Silva

  2. Institut de Recherche en Informatique de Toulouse, Université de Toulouse 1 - Capitole, UMR IRIT, 2 Rue du Doyen-Gabriel-Marty, 31042, Toulouse, France

    Marcos Aurélio Santos da Silva & Christophe Sibertin-Blanc

Authors
  1. Marcos Aurélio Santos da Silva
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  2. Christophe Sibertin-Blanc
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Correspondence to Marcos Aurélio Santos da Silva .

Editor information

Editors and Affiliations

  1. Universidade Federal do Rio Grande, Rio Grande, Brazil

    Graçaliz Pereira Dimuro

  2. Universidade de Lisboa, Lisbon, Portugal

    Luis Antunes

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da Silva, M.A.S., Sibertin-Blanc, C. (2018). A Stylized Model of Individual-Society Interaction Based on Luhmann’s Theory. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-91587-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91586-9

  • Online ISBN: 978-3-319-91587-6

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