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International audience ; 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.

International audience ; 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.

International audience ; 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.

International audience ; 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.

International audience ; 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.

International audience ; 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 forattitude 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 eld data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

International audience ; 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.

International audience ; 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 forattitude 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 eld data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

International audience ; 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 forattitude 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 eld data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

International audience ; In the context of military training for stabilizationoperation of a crisis zone with civilian population, understandingthe formation of attitude and its dynamics is a key issue. Thispaper presents a multi-agent model for simulating attitude forma-tion and change based on individuals perception of informationand its diffusion through communication. We represent theattitude as object-evaluation associations of varying strength pro-posed by Fazio [1]. Individuals observe military operations. Theyexchange and revise beliefs about social objects depending onmultiple criteria deriving from social psychology theories. Theycompute their attitude value based on analytic assessment of thesebeliefs. We illustrate, through several simulation experiments, therole of communication on attitude dynamics.

International audience ; In the context of military training for stabilizationoperation of a crisis zone with civilian population, understandingthe formation of attitude and its dynamics is a key issue. Thispaper presents a multi-agent model for simulating attitude forma-tion and change based on individual's perception of informationand its diffusion through communication. We represent theattitude as object-evaluation associations of varying strength pro-posed by Fazio [1]. Individuals observe military operations. Theyexchange and revise beliefs about social objects depending onmultiple criteria deriving from social psychology theories. Theycompute their attitude value based on analytic assessment of thesebeliefs. We illustrate, through several simulation experiments, therole of communication on attitude dynamics.