群体系统集体决策的自适应网络模型
Adaptive network models of collective decision making in swarming systems
摘要：
我们考虑一类自适应网络模型，其中链接只能在不同状态的节点之间创建或删除。这些模型提供了一组系统的近似描述，其中节点表示在物理或抽象空间中移动的代理，每个节点的状态表示代理的前进方向，并且链接表示相互意识。我们分析表明，自适应网络描述捕捉集体运动的相变在群集系统，这种转变的属性是由每个代理可以访问的状态（离散航向方向）的数量。
英文摘要：
We consider a class of adaptive network models where links can only be created or deleted between nodes in different states. These models provide an approximate description of a set of systems where nodes represent agents moving in physical or abstract space, the state of each node represents the agent's heading direction, and links indicate mutual awareness. We show analytically that the adaptive network description captures the phase transition to collective motion in swarming systems and that the properties of this transition are determined by the number of states (discrete heading directions) that can be accessed by each agent.
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