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Expectation-Driven Interaction: a Model Based on Luhmann's Contingency Approach

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We introduce an agent-based model of interaction, drawing on the contingency approach from Luhmann's theory of social systems. The agent interactions are defined by the exchange of distinct messages. Message selection is based on the history of the interaction and developed within the confines of the problem of double contingency. We examine interaction strategies in the light of the message-exchange description using analytical and computational methods.

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  • Michael Barber & Philippe Blanchard & Eva Buchinger & Bruno Cessac & Ludwig Streit, 2006. "Expectation-Driven Interaction: a Model Based on Luhmann's Contingency Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-5.
  • Handle: RePEc:jas:jasssj:2005-51-2
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    1. Peter Dittrich & Thomas Kron & Wolfgang Banzhaf, 2003. "On the Scalability of Social Order - Modeling the Problem of Double and Multi Contingency Following Luhmann," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(1), pages 1-3.
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