Abstract
Social Simulations need agents with a realistic behavior to be used as a scientific tool by social scientists. When simulating a human society, a realistic behavior implies the use of cognition, social relations between people but also to take into account emotions and the dynamic between these features. However, develo** such a behavior is often too complex for people with little knowledge in programming. In this paper, we present a formalism to represent cognition, social relations and emotions, which is integrated in an agent architecture to give a dynamic emotional behavior to social agents. This architecture is implemented in the open-source multi-agent platform GAMA. A use case about evacuation during bush fires in Australia is used to show the possibilities of our work.
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Acknowledgment
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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Bourgais, M., Taillandier, P., Vercouter, L. (2018). Enhancing the Behavior of Agents in Social Simulations with Emotions and Social Relations. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_7
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