Modeling Agreement in Social Groups Using Conceptual Agreement Theory

Sergio E. Chaigneau, E. Canessa
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Abstract

Many social phenomena can be viewed as processes in which individuals in social groups develop agreement (e.g., public opinion, the spreading of rumor, the formation of social and linguistic conventions). This study presents an Agent Based Model (ABM) based on Conceptual Agreement Theory (CAT), which models social agreement as a simplified communicational event in which an Observer (O) and Actor (A) exchange ideas about a concept C, and where O uses that information to infer whether A's conceptual state is the same as its own (i.e., to infer agreement). Agreement may be true (when O infers that A is thinking C and this is in fact the case, event a1) or illusory (when O infers that A is thinking C and this is not the case, event a2). In CAT, concepts that afford a1 or a2 become more salient in the minds of members of social groups. Results from the ABM show that, as our conceptual analyses suggested would be the case, the simulated social system selects concepts according to their usefulness to agents in promoting agreement among them. Furthermore, the ABM exhibits more complex dynamics where similar minded agents cluster and are able to retain useful concepts even when a different group of agents discards them.
基于概念协议理论的社会群体协议建模
许多社会现象可以被看作是社会群体中的个人形成共识的过程(例如,公众舆论,谣言的传播,社会和语言惯例的形成)。本研究提出了一个基于概念协议理论(CAT)的基于Agent的模型(ABM),该模型将社会协议建模为一个简化的交流事件,其中观察者(O)和行动者(a)交换关于概念C的想法,而O使用该信息推断a的概念状态是否与自己的相同(即推断协议)。一致可能是真实的(当O推断A在思考C时,这实际上是事件a1)或者是虚幻的(当O推断A在思考C时,这不是事件a2)。在CAT中,提供a1或a2的概念在社会群体成员的头脑中变得更加突出。ABM的结果表明,正如我们的概念分析所表明的那样,模拟的社会系统根据概念对代理人之间促进协议的有用性来选择概念。此外,ABM表现出更复杂的动态,其中具有相似思维的智能体聚集在一起,并且即使在不同的智能体组丢弃它们时也能够保留有用的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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