具有视野的随机相互作用智能体晶格模型中的堵塞现象
Jamming in a lattice model of stochastically interacting agents with a field of view
AI总结：
本文研究带视野的随机相互作用智能体晶格模型，发现局部密度依赖的随机性导致低密度下的一阶堵塞相变，且临界密度强烈依赖于视野性质。
摘要：
我们研究了一个具有加权视野的随机相互作用智能体晶格模型的集体动力学。我们假设智能体根据其相对位置，通过速度对齐和额外的排斥约束，优先与邻居相互作用。与以往的集群模型不同，这里的随机性本质上源于智能体之间的相互作用，其强度依赖于智能体的局部密度。我们发现，由于这些相互作用，该系统即使在非常低的密度下也会产生一阶堵塞相变。此外，我们发现临界堵塞密度强烈依赖于视野的性质。
英文摘要：
We study the collective dynamics of a lattice model of stochastically interacting agents with a weighted field of vision. We assume that agents preferentially interact with neighbours, depending on their relative location, through velocity alignments and the additional constraint of exclusion. Unlike in previous models of flocking, here the stochasticity arises intrinsically from the interactions between agents, and its strength is dependent on the local density of agents. We find that this system yields a first-order jamming transition as a consequence of these interactions, even at a very low density. Furthermore, the critical jamming density is found to strongly depend on the nature of the field of view.
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