标题： 基于认知偏差的意见动力学模型 显示英文标题

标题： Opinion dynamics model based on cognitive biases

摘要： 我们介绍了一个关于个体和群体意见动态的新模型，该模型考虑了由于认知偏差导致的不同信息源被过滤的不同方式。 基于代理的模型，利用个体信念分布的贝叶斯更新，是建立在Dan Kahan最近的心理学工作基础上的。 该模型的开放性允许研究静态和时间依赖性偏差以及信息处理过滤器的影响。 特别是，本文比较了两种重要的心理机制的影响：确认偏差和政治动机推理。 根据信息过滤的有效性（代理偏差），面对客观信息源的代理可能会基于真相达成共识，或者即使有证据也保持分裂。 一般来说，该模型可能有助于理解日益极化的现代社会，尤其是因为它允许混合不同类型的过滤器：心理、社会和算法。 显示英文摘要

摘要： We present an introduction to a novel model of an individual and group opinion dynamics, taking into account different ways in which different sources of information are filtered due to cognitive biases. The agent based model, using Bayesian updating of the individual belief distribution, is based on the recent psychology work by Dan Kahan. Open nature of the model allows to study the effects of both static and time-dependent biases and information processing filters. In particular, the paper compares the effects of two important psychological mechanisms: the confirmation bias and the politically motivated reasoning. Depending on the effectiveness of the information filtering (agent bias), the agents confronted with an objective information source may either reach a consensus based on the truth, or remain divided despite the evidence. In general, the model might provide an understanding into the increasingly polarized modern societies, especially as it allows mixing of different types of filters: psychological, social, and algorithmic.