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

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

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

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

Center for Innovation Systems and Policy

Bielefeld University

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

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.

Originalsprache	Englisch
Seitenumfang	1
Fachzeitschrift	JASSS The Journal of Artificial Societies and Social Simulation
Volume	9
Issue	4
Publikationsstatus	Veröffentlicht - 2006

Research Field

Nicht definiert

Schlagwörter

Contingency
Message Exchange Model
Interaction
Expectation-Expectation
Asymptotic Analysis

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KW - Contingency

KW - Message Exchange Model

KW - Interaction

KW - Expectation-Expectation

KW - Asymptotic Analysis

KW - Contingency

KW - Message Exchange Model

KW - Interaction

KW - Expectation-Expectation

KW - Asymptotic Analysis

M3 - Article

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JO - JASSS The Journal of Artificial Societies and Social Simulation

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ER -

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

Abstract

Research Field

Schlagwörter

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