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 language | English |
|---|---|
| Number of pages | 1 |
| Journal | JASSS The Journal of Artificial Societies and Social Simulation |
| Volume | 9 |
| Issue number | 4 |
| Publication status | Published - 2006 |
Research Field
- Not defined
Keywords
- Contingency
- Message Exchange Model
- Interaction
- Expectation-Expectation
- Asymptotic Analysis
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