网络中的集体模式和稳定误解在没有共同价值体系的情况下努力达成共识
Collective patterns and stable misunderstandings in networks striving for consensus without a common value system
摘要：
相互作用的代理系统中的集体现象帮助我们理解各种社会，生态和生物观察。相应的解释受到不正确的信息处理的挑战。特别是，模型通常假设对信号或共同真理或价值体系的共同理解，即，关于信息的衡量或感知是“正确”还是“错误”的协议。在没有这些条件的情况下能否达成集体共识，这是一个悬而未决的问题。在这里，我们介绍了一个模型的互动代理，争取共识，但是，每个人都只有一个主观的看法的世界。我们的沟通模式并不预设对或错的定义，因此参与者无法区分正确和不正确的观察。依赖于一个单一的参数，管理如何响应的代理人是改变他们的世界观，我们观察到一个无序的阶段之间的过渡的个人，不能相互沟通，一个阶段的新兴共享信号框架。我们发现，有两种类型的公约对齐集群：一个，在集群中的所有社会行为者有相同的一套公约，和一个，相邻的行为者有不同的，但兼容的公约（“稳定的惯例”）。
英文摘要：
Collective phenomena in systems of interacting agents have helped us understand diverse social, ecological and biological observations. The corresponding explanations are challenged by incorrect information processing. In particular, the models typically assume a shared understanding of signals or a common truth or value system, i.e., an agreement of whether the measurement or perception of information is `right' or `wrong'. It is an open question whether a collective consensus can emerge without these conditions. Here we introduce a model of interacting agents that strive for consensus, however, each with only a subjective perception of the world. Our communication model does not presuppose a definition of right or wrong and the actors can hence not distinguish between correct and incorrect observations. Depending on a single parameter that governs how responsive the agents are to changing their world-view we observe a transition between an unordered phase of individuals that are not able to communicate with each other and a phase of an emerging shared signalling framework. We find that there are two types of convention-aligned clusters: one, where all social actors in the cluster have the same set of conventions, and one, where neighbouring actors have different but compatible conventions (`stable misunderstandings').
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
