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

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Author Info
Michael Barber ()
Philippe Blanchard ()
Eva Buchinger ()
Bruno Cessac ()
Ludwig Streit ()
Abstract

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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Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 9 (2006)
Issue (Month): ()
Pages:
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Handle: RePEc:jas:jasssj:2005-51-2

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Related research
Keywords: Contingency Message Exchange Model Interaction Expectation-Expectation Asymptotic Analysis

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