Expectation-driven interaction: a model based on Luhmann's contingency approach

Michael Barber, Philippe Blanchard, Eva Buchinger, Bruno Cessac, Ludwig Streit

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Number of pages1
JournalJASSS The Journal of Artificial Societies and Social Simulation
Volume9
Issue number4
Publication statusPublished - 2006

Research Field

  • Not defined

Keywords

  • Contingency
  • Message Exchange Model
  • Interaction
  • Expectation-Expectation
  • Asymptotic Analysis

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