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Emotion Modeling in Social Simulation: A Survey

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Abstract

Emotions play a key role in human behavior. Being able to integrate them in models is thus a major issue to improve the believability of agent-based social simulations. However, even though these last years have seen the emergence of many emotional models usable for simulations, many modelers still tend to use simple ad hoc emotional models. To support this view, this article proposes a survey of the different practices of modelers in terms of implementations of emotional models. We then present different emotional architectures that already exist and that can be used by modelers. The main goal is to understand the way emotions are used today in social simulations, in order for the community to unify its uses of emotional agents.

Suggested Citation

  • Mathieu Bourgais & Patrick Taillandier & Laurent Vercouter & Carole Adam, 2018. "Emotion Modeling in Social Simulation: A Survey," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-5.
  • Handle: RePEc:jas:jasssj:2017-58-4
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    1. repec:eur:ejfejr:7 is not listed on IDEAS
    2. Jesús López Baeza & José Carpio-Pinedo & Julia Sievert & André Landwehr & Philipp Preuner & Katharina Borgmann & Maša Avakumović & Aleksandra Weissbach & Jürgen Bruns-Berentelg & Jörg Rainer Noennig, 2021. "Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    3. Tuong Manh Vu & Charlotte Probst & Alexandra Nielsen & Hao Bai & Petra S. Meier & Charlotte Buckley & Mark Strong & Alan Brennan & Robin Purhouse, 2020. "A Software Architecture for Mechanism-Based Social Systems Modelling in Agent-Based Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-1.

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