Understanding how an individual changes its attitude, belief, and opinion due to other people's social influences is vital because of its wide implications. A core methodology that is used to study the change of attitude under social influences is agent-based model (ABM). The goal of this review paper is to compare and contrast existing ABMs, which I classify into two families, the deductive ABMs and the inductive ABMs. The former subsumes social simulation studies, and the latter involves human experiments. To facilitate the comparison between ABMs of different formulations, I propose a general unified formulation, in which all ABMs can be viewed as special cases. In addition, I show the connections between deductive ABMs and inductive ABMs, and point out their strengths and limitations. At the end of the paper, I identify underexplored areas and suggest future research directions.

翻译：理解个体如何因他人的社会影响而改变其态度、信念和观点具有深远意义。研究社会影响下态度变化的核心方法之一是智能体模型（ABM）。本综述旨在比较和对比现有的ABM，将其分为两大类：演绎型ABM和归纳型ABM。前者涵盖社会模拟研究，后者涉及人类实验。为便于比较不同形式的ABM，我提出一个通用的统一公式，所有ABM均可视为该公式的特例。此外，我展示了演绎型ABM与归纳型ABM之间的关联，并指出了各自的优势与局限。在文章结尾，我识别了尚未充分探索的领域，并提出了未来的研究方向。