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

Diese Publikation zitieren

@article{9065b8a57ee3424cb461e8b50650cd8c,

title = "Expectation-driven interaction: a model based on Luhmann's contingency approach",

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, Contingency, Message Exchange Model, Interaction, Expectation-Expectation, Asymptotic Analysis",

author = "Michael Barber and Philippe Blanchard and Eva Buchinger and Bruno Cessac and Ludwig Streit",

note = "http://jasss.soc.surrey.ac.uk/9/4/5.html",

year = "2006",

language = "English",

volume = "9",

journal = "JASSS The Journal of Artificial Societies and Social Simulation",

issn = "1460-7425",

publisher = "University of Surrey",

number = "4",

}

TY - JOUR

T1 - Expectation-driven interaction: a model based on Luhmann's contingency approach

AU - Barber, Michael

AU - Blanchard, Philippe

AU - Buchinger, Eva

AU - Cessac, Bruno

AU - Streit, Ludwig

N1 - http://jasss.soc.surrey.ac.uk/9/4/5.html

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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

SN - 1460-7425

VL - 9

JO - JASSS The Journal of Artificial Societies and Social Simulation

JF - JASSS The Journal of Artificial Societies and Social Simulation

IS - 4

ER -

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

Abstract

Research Field

Schlagwörter

Fingerprint

Diese Publikation zitieren