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An Analysis and Design Framework for Agent-Based Social Simulation

Identifieur interne : 000232 ( Istex/Corpus ); précédent : 000231; suivant : 000233

An Analysis and Design Framework for Agent-Based Social Simulation

Auteurs : Amineh Ghorbani ; Virginia Dignum ; Gerard Dijkema

Source :

RBID : ISTEX:034F11D7FE742816AAEF5805066B05F358DB44E4

Abstract

Abstract: Agent-based modeling is one of the popular tools for analyzing complex social systems. To model such systems, social attributes such as culture, law and institutions need to implemented as part of the context of a MAS, independently of individual agents. In this paper, we present MAIA; a framework for modeling agent-based systems based on the Institutional Analysis and Development Framework (IAD). The IAD is a well established comprehensive framework which addresses many social attributes. To make this framework applicable to agent-based software implementation, we inspire from some of the detailed definitions in the OperA methodology. The framework covers the different types of structures affecting agents at the operational level; physical, collective and constitutional. Moreover, this framework includes the conceptualization and design of evaluation. An agent-based methodology has also been developed from the MAIA framework which consists of two layers. A conceptualization layer for analyzing and decomposing the system and a detailed design layer which leads to the implementation of social models. MAIA allows the balance of global institutional requirements with the autonomy of individual agents thus enabling system evolution and reflecting more of reality in artificial societies.

Url:
DOI: 10.1007/978-3-642-27216-5_8

Links to Exploration step

ISTEX:034F11D7FE742816AAEF5805066B05F358DB44E4

Le document en format XML

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<affiliation>Lancaster University, Lancaster, UK</affiliation>
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<forename type="first">Takeo</forename>
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<forename type="first">Josef</forename>
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<forename type="first">Jon</forename>
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<forename type="first">Oscar</forename>
<surname>Nierstrasz</surname>
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<affiliation>University of Bern, Bern, Switzerland</affiliation>
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<forename type="first">Demetri</forename>
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<forename type="first">Doug</forename>
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<affiliation>University of California, Berkeley, CA, USA</affiliation>
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<forename type="first">Moshe</forename>
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<forename type="first">Randy</forename>
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<forename type="first">Jörg</forename>
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<affiliation>University of Saarland, Saarbrücken, Germany</affiliation>
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<forename type="first">Wolfgang</forename>
<surname>Wahlster</surname>
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<affiliation>DFKI and University of Saarland, Saarbrücken, Germany</affiliation>
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<forename type="first">Francien</forename>
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<forename type="first">Hiromitsu</forename>
<surname>Hattori</surname>
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<p>Abstract: Agent-based modeling is one of the popular tools for analyzing complex social systems. To model such systems, social attributes such as culture, law and institutions need to implemented as part of the context of a MAS, independently of individual agents. In this paper, we present MAIA; a framework for modeling agent-based systems based on the Institutional Analysis and Development Framework (IAD). The IAD is a well established comprehensive framework which addresses many social attributes. To make this framework applicable to agent-based software implementation, we inspire from some of the detailed definitions in the OperA methodology. The framework covers the different types of structures affecting agents at the operational level; physical, collective and constitutional. Moreover, this framework includes the conceptualization and design of evaluation. An agent-based methodology has also been developed from the MAIA framework which consists of two layers. A conceptualization layer for analyzing and decomposing the system and a detailed design layer which leads to the implementation of social models. MAIA allows the balance of global institutional requirements with the autonomy of individual agents thus enabling system evolution and reflecting more of reality in artificial societies.</p>
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<Para>Agent-based modeling is one of the popular tools for analyzing complex social systems. To model such systems, social attributes such as culture, law and institutions need to implemented as part of the context of a MAS, independently of individual agents.</Para>
<Para>In this paper, we present MAIA; a framework for modeling agent-based systems based on the Institutional Analysis and Development Framework (IAD). The IAD is a well established comprehensive framework which addresses many social attributes. To make this framework applicable to agent-based software implementation, we inspire from some of the detailed definitions in the OperA methodology. The framework covers the different types of structures affecting agents at the operational level; physical, collective and constitutional. Moreover, this framework includes the conceptualization and design of evaluation.</Para>
<Para>An agent-based methodology has also been developed from the MAIA framework which consists of two layers. A conceptualization layer for analyzing and decomposing the system and a detailed design layer which leads to the implementation of social models.</Para>
<Para>MAIA allows the balance of global institutional requirements with the autonomy of individual agents thus enabling system evolution and reflecting more of reality in artificial societies.</Para>
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<Keyword>IAD</Keyword>
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<abstract lang="en">Abstract: Agent-based modeling is one of the popular tools for analyzing complex social systems. To model such systems, social attributes such as culture, law and institutions need to implemented as part of the context of a MAS, independently of individual agents. In this paper, we present MAIA; a framework for modeling agent-based systems based on the Institutional Analysis and Development Framework (IAD). The IAD is a well established comprehensive framework which addresses many social attributes. To make this framework applicable to agent-based software implementation, we inspire from some of the detailed definitions in the OperA methodology. The framework covers the different types of structures affecting agents at the operational level; physical, collective and constitutional. Moreover, this framework includes the conceptualization and design of evaluation. An agent-based methodology has also been developed from the MAIA framework which consists of two layers. A conceptualization layer for analyzing and decomposing the system and a detailed design layer which leads to the implementation of social models. MAIA allows the balance of global institutional requirements with the autonomy of individual agents thus enabling system evolution and reflecting more of reality in artificial societies.</abstract>
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<name type="personal">
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<namePart type="family">Dechesne</namePart>
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