Enhancing the Behavior of Agents in Social Simulations with Emotions and Social Relations

Mathieu Bourgais (1) , Patrick Taillandier (2) , Laurent Vercouter (3)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 MIAT INRA - Unité de Mathématiques et Informatique Appliquées de Toulouse
3 MIND - LITIS - Equipe Multi-agent, Interaction, Décision

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, developing 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.

Mots clés: Social Simulation; Emotions; Cognition; Agent Architecture

Domaines: Modélisation et simulation; Mathématiques [math]; Informatique [cs]

Mathieu Bourgais, Patrick Taillandier, Laurent Vercouter. Enhancing the Behavior of Agents in Social Simulations with Emotions and Social Relations. The 18th Workshop on Multi-agent-based Simulation - MABS 2017, May 2017, São Paulo, Brazil. pp.16, ⟨10.1007/978-3-319-91587-6_7⟩. ⟨hal-01573384⟩