From Field Data to Attitude Formation

Kei-Léo Brousmiche (1) , Jean-Daniel Kant (1) , Nicolas Sabouret (1) , François Prenot-Guinard (2) , Stéphane Fournier (3)

1 SMA - Systèmes Multi-Agents
2 Airbus Defence and Space [Les Mureaux]
3 UMR Innovation - Innovation et Développement dans l'Agriculture et l'Alimentation

This paper presents a multi-agent model for simulating attitude formation and change based on perception and communication in the context of stabilization operations. The originality of our model comes from (1) attitude computation that evaluates information as part of a history relative to the individual (2) a notion of co-responsibility for attitude attribution. We present a military scenario of French operations in Afghanistan along with polls results about the opinion of citizen toward present Forces. Based on these field data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

Domaines: Système multi-agents [cs.MA]

Kei-Léo Brousmiche, Jean-Daniel Kant, Nicolas Sabouret, François Prenot-Guinard, Stéphane Fournier. From Field Data to Attitude Formation. Advances in Social Simulation 2015, ESSA, Sep 2015, Groningen, Netherlands. pp.1 - 14, ⟨10.1007/978-3-319-47253-9_1⟩. ⟨hal-01511333⟩