Abstract-Emotions have a considerable effect on human behaviors and cognitive processes, especially during crisis situations. Emotion modeling is therefore a key solution to generate realistic social simulations in crisis situations. In this context, we intend to model human emotional dynamics and to study their effect on individual and collective behaviors during emergency situations. In this paper, we focus on the first part of this research work which consists in the modeling of emotion generation in emergency situations. Thus, we provide first a modeling of the disaster space in a rescue simulation context. Then, we propose a computational model of the generated human emotions, basing on the emergency environment. This model uses the appraisal theories of emotions.

Abstract. Agent based social simulations are becoming prevailing tools in the context of human behavior studies. Researchers in psychology, cognitive science and neuroscience have proved the prominent role of emotion on cognition and behavior. Particularly, during emergency situations, human emotional dynamics have a major effect on behavior. In this context, we aim to study the role of emotions in reproducing human-like emotional civilian agents. The objective of the current research work is to model and to simulate human emotional dynamics and their effect on the behaviors of civilians in emergencies. In this article, we describe an emotional agent model that integrates a computational model of emotions. Agent perceptions are subject to a cognitive appraisal process to generate agent emotions. These have an effect on the generation of agent behavior.Keywords: Emotional dynamics, Appraisal, Emergencies, Human behavior. IntroductionImplementing human characteristics into artificial systems is a key and a multidisciplinary challenge. This implementation aims at building agents with believable and realistic behaviors. Different factors are modeled in human behaviors simulations. These include physical and physiological factors, cognition, emotions, personality traits, social relations among others. The interplay of emotion and cognition is particularly important in the study of human behaviors, particularly during emergency situations. In fact, emotions are important regulator factors of human behaviors, mainly to respond to highly emotive events such as those happening in emergency situations. Thus, humans that experience heightened emotional states can have unexpected behaviors [1]. Therefore, emotions are necessary to produce realistic social simulations in emergencies. These situations are characterized by their dynamicity and complexity. Hence, modeling human-like agents in such situations requires the integration of emotion modeling. In fact, emotions represent important adaptation mechanisms to changes that may occur in the agent environment.

Analyzing human behaviors during emergency situations contributes to build efficient emergency management plans. Indeed, research shows that emotions have a major influence on human behavior particularly to respond to highly emotive events such as those happening in emergency situations. Therefore, it is recognized that they are necessary to produce human-like behaviors in artificial agents. In this paper, we present an emotional agent model of human civilians in an emergency context. The aim is to model and to simulate the emotion generation process and the impact of the elicited emotions on civilian behaviors in an emergency situation during a disaster.

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