In order to understand the development of common orientation of opinions in the modern world we propose a model of a society described as a large collection of agents that exchange their expressed opinions under the influence of their mutual interactions and external events. In particular we introduce an interaction bias which results in the emergence of a collective memory such that the society is able to store and recall information coming from several external signals. Our model shows how the inner structure of the society and its future reactions are shaped by its own history. We provide an analytical explanation of such mechanism and we study the features of external influences with higher impact on the society. We show the emergent similarity between the reaction of a society modelled in this way and the Hopfield-like mechanism of information retrieval in Neural Networks.

为了理解现代观点的共同取向的发展，我们提出了一个社会模型，该模型被描述为大量的代理，这些代理在相互之间的相互作用和外部事件的影响下交换他们表达的观点。特别是，我们引入了一种互动偏见，导致集体记忆的出现，从而使社会能够存储和调用来自多个外部信号的信息。我们的模型说明了社会的内部结构及其未来反应是如何受自身历史的影响的。我们提供了这种机制的分析解释，并研究了对社会影响更大的外部影响的特征。