Abstract

Emotions play a key role in human behavior. Being able to integrate them in models is therefore a major issue to improve the believability of agent-based social simulations. However, and despite the emergence of many emotional models usable for simulations in the last few years, many modelers still tend to use too simple ad hoc emotional models. To support this view, this article proposes a survey of the diierent practices of modelers in terms of implementations of emotional models, as well as a presentation of diierent emotional architectures that already exist and that could be used by modelers. The main goal is to understand how emotions are used today in social simulations, in order for the community to unify its uses of emotional agents.

Highlights

  • The main purpose of this article is to understand the di erent ways used by modelers to handle emotional agents in social simulation

  • The results indicate that modeling the employees who create so ware improves the estimated cost of so ware development, but it is due more to the presence of cognitive agents over emotional agents

  • This article reviewed di erent ways used by modelers to add emotions to social simulations

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Summary

Introduction

. One of the problems encountered with multi-agent simulations of real world situations is defining realistic models. This realism is important in order for the simulation results to be credible, as pointed out by van Ruijven ( ). Defining a realistic model of inherently complex and unpredictable human behavior is hard. . To create believable agents in simulations, using simple reactive behaviors is insu icient as explained by Adam & Gaudou ( ). A simple reactive behavior is useful to model low level actions such as moving to a point, but when simulating humans who need to decide between many di erent options, a higher level of thought is required.

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