دانلود مقاله ISI انگلیسی شماره 38859
ترجمه فارسی عنوان مقاله

یک مدل مبتنی بر عامل برای تنظیم احساسات یکپارچه و سرایت در تصمیم گیری اجتماعی

عنوان انگلیسی
An agent-based model for integrated emotion regulation and contagion in socially affected decision making
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
38859 2015 16 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Biologically Inspired Cognitive Architectures, Volume 12, April 2015, Pages 105–120

ترجمه کلمات کلیدی
تنظیم احساسات - سرایت احساسات - تصمیم سازی - مدل عامل اجتماعی محاسباتی
کلمات کلیدی انگلیسی
Emotion regulation; Emotion contagion; Decision making; Computational social agent model
پیش نمایش مقاله
پیش نمایش مقاله  یک مدل مبتنی بر عامل برای تنظیم احساسات یکپارچه و سرایت در تصمیم گیری اجتماعی

چکیده انگلیسی

Abstract This paper addresses an agent-based computational social agent model for the integration of emotion regulation, emotion contagion and decision making in a social context. The model integrates emotion-related valuing, in order to analyse the role of emotions in socially affected decision making. The agent-based model is illustrated for the interaction between two persons. Simulation experiments for different kinds of scenarios help to understand how decisions can be affected by regulating the emotions involved, and how these emotions are affected by emotion regulation and contagion.

مقدمه انگلیسی

Introduction Traditionally emotions have often been considered as standing in the way of adequate decision making. In recent developments on human decision making from a cognitive and neurological perspective a more constructive role of emotions has been found. For the case of individual decision making in particular, this concerns the role of emotions in a process in which a number of action options are considered, for each of which effects are predicted by internal simulation. By valuing these predicted effects a choice is made (e.g., Phelps et al., 2014 and Treur and Umair, 2011). In this valuation process emotions play a crucial role: those action options for which the predicted effects associate to a more positive feeling will be valued higher, and therefore will be chosen more often. In a social context, often decision making processes of different individuals affect each other, by social contagion processes (e.g., Bosse et al., 2014 and Bosse et al., 2012). A specific form of social contagion relevant in such socially affected decision making processes is emotion contagion. By expressing their emotions associated to different decision options, individuals affect other individuals in their emotions for these options. Through this an instantaneous social effect on the choice of an action occurs. In this social decision making process also a form of learning takes place. When a considered action co-occurs with a positive emotion, the association between this option and the emotion will be strengthened, so that in future situations the initial emotional effect is stronger. In this way such social contagion processes may also affect decisions for individuals made in the future. The strength of how emotions in an individual develop and are transferred to other individuals (contagion), also depends on the extent to which emotions are regulated. Some persons are expressing their emotions less than others. For example, when a person applies a very strong form of emotion regulation so that only a neutral face and body are shown, emotion contagion will not take place, and therefore decision making of others is not affected by such an emotion. Also, for an individual observing the emotion of another individual, if this received emotion is strongly regulated, this may reduce the social effect on the decision making. Such strong emotion regulation may make it more difficult to reach joint decisions in a natural manner. In this paper a social agent model is presented that covers how socially affected decision making relates to emotion contagion in interaction with emotion regulation. The work presented here is an extension of Manzoor and Treur (2013). First, in the second section the model itself is explained in some detail. In the third section it is illustrated by means of an example simulation showing how the model works. Next, in the fourth section more refined explorations are discussed of different scenarios showing the role of emotion regulation in the decision making. Finally, fifth section is a discussion.