论文标题
在马尔可夫意见动力学中使用有吸引力和排斥力的集体决策
Collective Decision Making using Attractive and Repulsive Forces in Markovian Opinion Dynamics
论文作者
论文摘要
在本文中，我们对涉及一组相互作用代理的决策过程进行建模。我们使用马尔可夫的意见动力学，每个代理都会根据连续的马尔可夫链在决策之间切换。现有的意见动力学模型通过分别引入代理群体内部和在代理之间起作用的有吸引力和排斥力来扩展。这样的扩展使在网络中出现的行为相似，在这些网络中，代理做出决定既取决于他们自己的偏好，又取决于周围代理的特定组的决策。所考虑的建模问题和本文的贡献受到交通连接处道路使用者（RUS）之间的相互作用的启发，每个RU都必须决定是去还是屈服。
In this paper, we model a decision-making process involving a set of interacting agents. We use Markovian opinion dynamics, where each agent switches between decisions according to a continuous time Markov chain. Existing opinion dynamics models are extended by introducing attractive and repulsive forces that act within and between groups of agents, respectively. Such an extension enables the resemblance of behaviours emerging in networks where agents make decisions that depend both on their own preferences and the decisions of specific groups of surrounding agents. The considered modeling problem and the contributions in this paper are inspired by the interaction among road users (RUs) at traffic junctions, where each RU has to decide whether to go or to yield.
