Attitude is a key concept in social psychology. The paper presents a novel agent-based model to simulate attitude formation by combining a rational and an emotional components based on cognitive, psychological and social theories. Individuals of the artificial population perceive actions taken by actors such as government or brands, they form an attitude toward them and also communicate the events through a social network. The model outputs are first studied through a functional analysis in which some unique macroscopic behaviors have emerged such as the impact of social groups, the resistance of the population toward disinfor-mation campaigns or the social pressure. We then applied our model on a real world scenario depicting the eeort of French Forces in their stabilization operations in Kapisa (Afghanistan) between and. We calibrated the model parameters based on this scenario and the results of opinion polls that were conducted in the area during the same period about the sentiment of the population toward the Forces. Our model was able to reproduce polls results with a global error under %. Based on these results, we show the diierent dynamics tendencies that emerged among the population by applying a non-supervised classification algorithm.