在基于主体的模型中引入论证框架以更好地模拟意见动力学中主体的认知:在素食传播中的应用

P. Taillandier, Nicolas Salliou, R. Thomopoulos
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引用次数: 15

摘要

本文介绍了一种基于智能体的通用模型,用于模拟支持和争论的交换和扩散。它适用于在第二次营养转变可能出现的背景下素食饮食的扩散。时至今日,基于智能体的仿真已被广泛用于研究意见动态。然而,现有的绝大多数模型都局限于极其抽象和简化的扩散过程表示。这些简化削弱了模拟的真实感,使我们无法理解演员观点转变的原因。这里给出的通用模型显式地表示了意见动态模型上下文中参与者之间的争论交换。特别是,每个智能体对一个观点的内在态度被形式化为一个论证图,每个智能体可以与其他智能体共享论证。仿真实验表明,引入争论之间的攻击和限制智能体动员的争论数量对智能体意见的演变有很大的影响。我们还强调,当一个新的论点被引入系统时,接受新论点的主体的数量和特征将影响整体观点的演变。最后,将这一模型应用于素食的采用似乎与危机期间观察到的历史食物行为动态一致。
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Introducing the Argumentation Framework Within Agent-Based Models to Better Simulate Agents' Cognition in Opinion Dynamics: Application to Vegetarian Diet Diffusion
: This paper introduces a generic agent-based model simulating the exchange and the diffusion of pro andconarguments. Itisappliedtothecaseofthediffusionofvegetariandietsinthecontextofapotentialemer-gence of a second nutrition transition. To this day, agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of existing models have been limited to extremely abstract and simplified representations of the diffusion process. These simplifications impairs the realism of the simulations and disables the understanding of the reasons for the shift of an actor’s opinion. The generic model presented here explicitly represents exchanges of arguments between actors in the context of an opinion dynamic model. In particular, the inner attitude towards an opinion of each agent is formalized as an argumentation graph and each agent can share arguments with other agents. Simulation experiments show that introducing attacks between arguments and a limitation of the number of arguments mobilized by agents has a strong impact on the evolution of the agents’ opinion. We also highlight that when a new argument is introduced into the system, the quantity and the profile of the agents receiving the new argument will impact the evolution of the overall opinion. Finally, the application of this model to vegetarian diet adoption seems consistent with historical food behaviour dynamics observed during crises.
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