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Handbuch Modellbildung und Simulation in den Sozialwissenschaften pp 491–514Cite as

Multi-Agenten-Modelle

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Zusammenfassung

Multi-Agenten-Modellierung ist eine Form der Computermodellierung die darauf abzielt zu erklären, wie soziale Phänomene aus dem komplexen Zusammenspiel interdependenter Individuen entstehen. Der vorliegende Beitrag gibt eine kurze Einführung in die Grundlagen sozialwissenschaftlicher Multi-Agenten-Modellierung. Wir besprechen dabei wichtige Modellierungsentscheidungen und Modellierungsalternativen. Am Anwendungsbeispiel der Erklärung von Meinungsdiversität wird illustriert, wie Simulationsexperimente mit einem Multi-Agenten-Modell und inhaltliche sozialwissenschaftliche Theoriebildung aufeinander bezogen werden können. Auf Basis der Programmiersprache NetLogo legen wir das Modell als einfaches Beispielprogramm vor. Abschließend werden methodologische Prinzipien und Probleme der Multi-Agenten-Modellierung besprochen und Hinweise auf weiterführende Literatur gegeben.

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Author information

Authors and Affiliations

  1. Rijksuniversiteit Groningen, Groningen, Niederlande

    Dr. Andreas Flache

  2. ETH Zürich, Zürich, Schweiz

    Dr. Michael Mäs

Authors
  1. Dr. Andreas Flache
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  2. Dr. Michael Mäs
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Correspondence to Andreas Flache .

Editor information

Editors and Affiliations

  1. Ludwig Maximilians-Universität München, Germany

    Norman Braun

  2. Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    Nicole J. Saam

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Flache, A., Mäs, M. (2015). Multi-Agenten-Modelle. In: Braun, N., Saam, N. (eds) Handbuch Modellbildung und Simulation in den Sozialwissenschaften. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-01164-2_17

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  • DOI: https://doi.org/10.1007/978-3-658-01164-2_17

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