Expectation-Driven Interaction: a Model Based on Luhmann's Contingency Approach
Michael Barber (),
Philippe Blanchard (),
Eva Buchinger (),
Bruno Cessac () and
Ludwig Streit ()
Additional contact information
Eva Buchinger: http://www.ait.ac.at/
Bruno Cessac: http://www-sop.inria.fr/members/Bruno.Cessac/
Journal of Artificial Societies and Social Simulation, 2006, vol. 9, issue 4, 5
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.
Keywords: Contingency; Message Exchange Model; Interaction; Expectation-Expectation; Asymptotic Analysis (search for similar items in EconPapers)
Date: 2006-10-31
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2005-51-2
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