Social Agents? A Systematic Review of Social Identity Formalizations

IF 2.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Geeske Scholz, Nanda Wijermans, Rocco Paolillo, Martin Neumann, Torsten Masson, É. Chappin, A. Templeton, G. Kocheril
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引用次数: 5

Abstract

: Simulating collective decision-making and behaviour is at the heart of many agent-based models (ABMs). However, the representation of social context and its influence on an agent’s behaviour remains challenging. Here, the Social Identity Approach (SIA) from social psychology, offers a promising explanation, as it describes how people behave while being part of a group, how groups interact and how these interactions and ingroup norms can change over time. SIA is valuable for various application domains while also being challenging to formalise. To address this challenge and enable modellers to learn from existing work, we took stock of ABM formalisations of SIA and present a systematic review of SIA in ABMs. Our results show a diversity of application areas and formalisations of (parts of) SIA without any converging practice towards a default formalisation. Models range from simple to (cognitively) rich, with a group of abstract models in the tradition of opinion dynamics employing SIA to specify group-based social influence. We also found some complex cognitive SIA formalisations incorporating contextual behaviour. When considering the function of SIA in the models, representing collectives, modelling group-based social influence and unpacking contextual behaviour all stood out. Our review was also an inventory of the formalisation challenge attached to using a very promising social-psychological theory in ABMs, revealing a tendency for reference to domain-specific theories to remain vague.
社会代理?社会身份形式化的系统回顾
模拟集体决策和行为是许多基于主体的模型(ABMs)的核心。然而,社会背景的表征及其对代理人行为的影响仍然具有挑战性。在这里,来自社会心理学的社会认同方法(SIA)提供了一个有希望的解释,因为它描述了人们作为群体的一部分时的行为方式,群体如何互动以及这些互动和群体内规范如何随着时间而变化。SIA对于各种应用领域都很有价值,同时也具有挑战性。为了应对这一挑战,并使建模人员能够从现有的工作中学习,我们对SIA的ABM形式化进行了评估,并在ABM中对SIA进行了系统的回顾。我们的结果显示了SIA(部分)的应用领域和形式化的多样性,而没有任何向默认形式化靠拢的实践。模型的范围从简单到(认知)丰富,在传统的意见动态中有一组抽象模型,使用SIA来指定基于群体的社会影响。我们还发现了一些包含上下文行为的复杂认知SIA形式化。当考虑到SIA在模型中的功能时,代表集体、建模基于群体的社会影响和解开语境行为都很突出。我们的回顾也是对在ABMs中使用一个非常有前途的社会心理学理论所带来的形式化挑战的盘点,揭示了对特定领域理论的参考仍然模糊的趋势。
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来源期刊
CiteScore
7.40
自引率
9.50%
发文量
16
审稿时长
21 weeks
期刊介绍: The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.
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