Collective motion of oscillatory walkers

Oscillatory evolution of collective behavior in evolutionary games played with reinforcement learning

Large-scale cooperation underpins the evolution of ecosystems and the human society, and the collective behaviors by self-organization of multi-agent systems are the key for understanding. As artificial intelligence (AI) prevails in almost all branches of science, it would be of great interest to see what new insights of collective behavior could be obtained from a multi-agent AI system. Here, we introduce a typical reinforcement learning (RL) algorithm -- Q learning into evolutionary game dynamics, where agents pursue optimal action on the basis of the introspectiveness rather than the birth-…

未来规避随机游走中周期性与无结构运动的出现与共存

Emergence and co-existence of periodic and unstructured motion in future-avoiding random walks

本文研究了未来规避随机游走中周期性与无结构运动的共存现象，揭示了非振荡路径在网络上的Chimera行为及其在共享出行中的应用意义。

Analytical investigation of oscillations in intersecting flows of pedestrian and vehicle traffic

In two intersecting many-particle streams, one can often find the emergence of oscillatory patterns. Here, we investigate the interaction of pedestrians with vehicles, when they try to cross a road. A numerical study of this coupled pedestrian-vehicle delay problem has been presented in a previous paper. Here, we focus on the analytical treatment of the problem, which requires to use a simplified car-following model. Our analytical results for the phase transition to oscillatory pedestrian and traffic flows and the average waiting times are well supported by numerical evaluations and give a de…