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BEN: An Agent Architecture for Explainable and Expressive Behavior in Social Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11763))

Abstract

Social Simulations are used to study complex systems featuring human actors. This means reproducing real-life situations involving people in order to explain an observed behavior. However, there are actually no agent architectures among the most popular platforms for agent-based simulation enabling to easily model human actors. This situation leads modelers to implement simple reactive behaviors while the EROS principle (Enhancing Realism Of Simulation) fosters the use of psychological and social theory to improve the credibility of such agents. This paper presents the BEN architecture (Behavior with Emotions and Norms) that uses cognitive, affective and social dimensions for the behavior of social agents. This agent architecture has been implemented in the GAMA platform so it may be used by a large audience to model agents with a high level explainable behavior. This architecture is used on an evacuation case, showing how it creates believable behaviors in a real case scenario.

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Acknowledgments

This work is partially supported by two public grants overseen by the French National Research Agency (ANR) as part of the program PRC (reference: ESCAPE ANR-16-CE39-0011-01 and ACTEUR ANR-14-CE22-0002).

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Authors and Affiliations

  1. Normandie Univ, INSA Rouen Normandie, LITIS, 76000, Rouen, France

    Mathieu Bourgais & Laurent Vercouter

  2. MIAT, INRA, 31000, Toulouse, France

    Patrick Taillandier

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  1. Mathieu Bourgais
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  2. Patrick Taillandier
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  3. Laurent Vercouter
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Correspondence to Mathieu Bourgais .

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Editors and Affiliations

  1. University of Applied Sciences of Western Switzerland (HES-SO), Sierre, Switzerland

    Davide Calvaresi

  2. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Amro Najjar

  3. University of Applied Sciences of Western Switzerland (HES-SO), Sierre, Switzerland

    Michael Schumacher

  4. Umeå University, Umeå, Sweden

    Kary Främling

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Bourgais, M., Taillandier, P., Vercouter, L. (2019). BEN: An Agent Architecture for Explainable and Expressive Behavior in Social Simulation. In: Calvaresi, D., Najjar, A., Schumacher, M., Främling, K. (eds) Explainable, Transparent Autonomous Agents and Multi-Agent Systems. EXTRAAMAS 2019. Lecture Notes in Computer Science(), vol 11763. Springer, Cham. https://doi.org/10.1007/978-3-030-30391-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-30391-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30390-7

  • Online ISBN: 978-3-030-30391-4

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