arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1803.03053cond-mat.soft
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信息流束缚的活性粒子

Active Particles Bound by Information Flows

Utsab Khadka, Viktor Holubec, Haw Yang, Frank Cichos

摘要:

自组织是在非平衡状态下局部相互作用产生的秩序[1]。它与从物理学,化学到生物学的所有科学领域都有着深刻的联系,其中功能性生命结构自组装[2]并不断进化[3],所有这些都基于物理相互作用。动物集体行为[4]、社会或语言的出现也是自组织过程的结果,尽管它们涉及由感官输入、信息处理、存储和反馈引起的抽象相互作用[5-7]。由此产生的集体行为可以在人群、鸟群、鱼群或细菌群中找到[8,9]。在这里,我们介绍这样的信息为基础的相互作用的行为的活性微粒。活性粒子位置的实时反馈控制这些活性粒子的推进方向。新兴的结构受到耗散的约束,并由于局限于两个维度而揭示了受挫的几何形状。它们像被动的胶体团簇一样扩散,但具有由系统中的反馈和噪声确定的内部动力学自由度。由于反馈回路中的信息处理几乎可以任意设计,因此出现了涉及具有单独时间尺度的耦合反馈系统、机器学习和群体智能的自组织研究的新视角。

英文摘要:

Self-organization is the generation of order out of local interactions in non-equilibrium [1]. It is deeply connected to all fields of science from physics, chemistry to biology where functional living structures self-assemble[2] and constantly evolve[3] all based on physical interactions. The emergence of collective animal behavior[4], of society or language are the results of self-organization processes as well though they involve abstract interactions arising from sensory inputs, information processing, storage and feedback[5-7]. Resulting collective behaviors are found for example in crowds of people, flocks of birds, schools of fish or swarms of bacteria[8,9]. Here we introduce such information based interactions to the behavior of active microparticles. A real time feedback of active particle positions controls the propulsion direction these active particles. The emerging structures are bound by dissipation and reveal frustrated geometries due to confinement to two dimensions. They diffuse like passive clusters of colloids, but possess internal dynamical degrees of freedom that are determined by the feed- back and the noise in the system. As the information processing in the feedback loops can be designed almost arbitrarily, new perspectives for self-organization studies involving coupled feedback systems with separate timescales, machine learning and swarm intelligence arise.

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。

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