arXiv - PHYS - Adaptation and Self-Organizing Systems最新文献_第2页

Chimera states and information transfer in interacting populations of map-based neurons 基于图谱的神经元相互作用群体中的嵌合态和信息传递

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-26 DOI: arxiv-2407.20289

V. J. Márquez-Rodríguez, K. Tucci, M. G. Cosenza

引用次数: 0

Kardar-Parisi-Zhang universality class in the synchronization of oscillator lattices with time-dependent noise 具有时变噪声的振荡器晶格同步中的卡尔达-帕里西-张普遍性类别

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-22 DOI: arxiv-2407.15634

Ricardo Gutierrez, Rodolfo Cuerno

{"title":"Kardar-Parisi-Zhang universality class in the synchronization of oscillator lattices with time-dependent noise","authors":"Ricardo Gutierrez, Rodolfo Cuerno","doi":"arxiv-2407.15634","DOIUrl":"https://doi.org/arxiv-2407.15634","url":null,"abstract":"Systems of oscillators subject to time-dependent noise typically achieve\u0000synchronization for long times when their mutual coupling is sufficiently\u0000strong. The dynamical process whereby synchronization is reached can be thought\u0000of as a growth process in which an interface formed by the local phase field\u0000gradually roughens and eventually saturates. Such a process is here shown to\u0000display the generic scale invariance of the one-dimensional Kardar-Parisi-Zhang\u0000universality class, including a Tracy-Widom probability distribution for phase\u0000fluctuations around their mean. This is revealed by numerical explorations of a\u0000variety of oscillator systems: rings of generic phase oscillators and rings of\u0000paradigmatic limit-cycle oscillators, like Stuart-Landau and van der Pol. It\u0000also agrees with analytical expectations derived under conditions of strong\u0000mutual coupling. The nonequilibrium critical behavior that we find is robust\u0000and transcends the details of the oscillators considered. Hence, it may well be\u0000accessible to experimental ensembles of oscillators in the presence of e.g.\u0000thermal noise.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic Kuramoto oscillators with inertia and higher-order interactions 具有惯性和高阶相互作用的随机仓本振荡器

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-20 DOI: arxiv-2407.14874

Priyanka Rajwani, Sarika Jalan

引用次数: 0

Navigating the swarm: Deep neural networks command emergent behaviours 为蜂群导航深度神经网络指挥突发行为

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-16 DOI: arxiv-2407.11330

Dongjo Kim, Jeongsu Lee, Ho-Young Kim

{"title":"Navigating the swarm: Deep neural networks command emergent behaviours","authors":"Dongjo Kim, Jeongsu Lee, Ho-Young Kim","doi":"arxiv-2407.11330","DOIUrl":"https://doi.org/arxiv-2407.11330","url":null,"abstract":"Interacting individuals in complex systems often give rise to coherent motion\u0000exhibiting coordinated global structures. Such phenomena are ubiquitously\u0000observed in nature, from cell migration, bacterial swarms, animal and insect\u0000groups, and even human societies. Primary mechanisms responsible for the\u0000emergence of collective behavior have been extensively identified, including\u0000local alignments based on average or relative velocity, non-local pairwise\u0000repulsive-attractive interactions such as distance-based potentials, interplay\u0000between local and non-local interactions, and cognitive-based inhomogeneous\u0000interactions. However, discovering how to adapt these mechanisms to modulate\u0000emergent behaviours remains elusive. Here, we demonstrate that it is possible\u0000to generate coordinated structures in collective behavior at desired moments\u0000with intended global patterns by fine-tuning an inter-agent interaction rule.\u0000Our strategy employs deep neural networks, obeying the laws of dynamics, to\u0000find interaction rules that command desired collective structures. The\u0000decomposition of interaction rules into distancing and aligning forces,\u0000expressed by polynomial series, facilitates the training of neural networks to\u0000propose desired interaction models. Presented examples include altering the\u0000mean radius and size of clusters in vortical swarms, timing of transitions from\u0000random to ordered states, and continuously shifting between typical modes of\u0000collective motions. This strategy can even be leveraged to superimpose\u0000collective modes, resulting in hitherto unexplored but highly practical hybrid\u0000collective patterns, such as protective security formations. Our findings\u0000reveal innovative strategies for creating and controlling collective motion,\u0000paving the way for new applications in robotic swarm operations, active matter\u0000organisation, and for the uncovering of obscure interaction rules in biological\u0000systems.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141718432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Competing aggregation and iso-density equilibrium lead to band pattern formation in density gradients 竞争性聚集和等密度平衡导致密度梯度中的带型形成

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-10 DOI: arxiv-2407.07676

Felix MaurerExperimental Physics, Saarland University, Saarbruecken, Germany, Camila RomeroExperimental Physics, Saarland University, Saarbruecken, Germany, Nikolas LerchExperimental Physics, Saarland University, Saarbruecken, Germany, Thomas JohnExperimental Physics, Saarland University, Saarbruecken, Germany, Lars KaestnerExperimental Physics, Saarland University, Saarbruecken, GermanyDepartment of Theoretical Medicine and Biosciences, Saarland University, Homburg, Germany, Christian WagnerExperimental Physics, Saarland University, Saarbruecken, GermanyPhysics and Materials Science Research Unit, University of Luxembourg, Luxembourg, Alexis DarrasExperimental Physics, Saarland University, Saarbruecken, Germany

{"title":"Competing aggregation and iso-density equilibrium lead to band pattern formation in density gradients","authors":"Felix MaurerExperimental Physics, Saarland University, Saarbruecken, Germany, Camila RomeroExperimental Physics, Saarland University, Saarbruecken, Germany, Nikolas LerchExperimental Physics, Saarland University, Saarbruecken, Germany, Thomas JohnExperimental Physics, Saarland University, Saarbruecken, Germany, Lars KaestnerExperimental Physics, Saarland University, Saarbruecken, GermanyDepartment of Theoretical Medicine and Biosciences, Saarland University, Homburg, Germany, Christian WagnerExperimental Physics, Saarland University, Saarbruecken, GermanyPhysics and Materials Science Research Unit, University of Luxembourg, Luxembourg, Alexis DarrasExperimental Physics, Saarland University, Saarbruecken, Germany","doi":"arxiv-2407.07676","DOIUrl":"https://doi.org/arxiv-2407.07676","url":null,"abstract":"Centrifugation of erythrocytes (aka Red Blood Cells, RBCs) in a self-forming\u0000Percoll gradient is a protocol often used as a way to sort RBCs by age.\u0000However, a pattern formation of discrete bands is systematically observed along\u0000the continuous density gradient. Although early studies mentioned that\u0000aggregation between cells might modify their spatial distribution, it is\u0000debated whether a population with continuous density distribution can form\u0000discrete bands. Here, we develop a continuity equation, considering the\u0000aggregation of cells with a continuous density distribution, which describes\u0000the macroscopic evolution of the RBC volume concentration in a density\u0000gradient. The numerical solutions demonstrate that the competition between\u0000iso-density distribution and aggregation is sufficient to create band patterns.\u0000Our model reproduces the temporal evolution observed in the conventional\u0000experimental protocol, but also predicts several types of bifurcation-like\u0000behaviors for the steady-state patterns in constant gradients, when the volume\u0000fraction and aggregation energy of the cells are varied. We threrefore\u0000discovered that the competition between RBC aggregation and iso-density\u0000distribution is a novel physical mechanism leading to pattern formation.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141587369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Causal Leverage Density: A General Approach to Semantic Information 因果杠杆密度：语义信息的一般方法

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-10 DOI: arxiv-2407.07335

Stuart J Bartlett

{"title":"Causal Leverage Density: A General Approach to Semantic Information","authors":"Stuart J Bartlett","doi":"arxiv-2407.07335","DOIUrl":"https://doi.org/arxiv-2407.07335","url":null,"abstract":"I introduce a new approach to semantic information based upon the influence\u0000of erasure operations (interventions) upon distributions of a system's future\u0000trajectories through its phase space. Semantic (meaningful) information is\u0000distinguished from syntactic information by the property of having some\u0000intrinsic causal power on the future of a given system. As Shannon famously\u0000stated, syntactic information is a simple property of probability distributions\u0000(the elementary Shannon expression), or correlations between two subsystems and\u0000thus does not tell us anything about the meaning of a given message. Kolchinsky\u0000& Wolpert (2018) introduced a powerful framework for computing semantic\u0000information, which employs interventions upon the state of a system (either\u0000initial or dynamic) to erase syntactic information that might influence the\u0000viability of a subsystem (such as an organism in an environment). In this work\u0000I adapt this framework such that rather than using the viability of a\u0000subsystem, we simply observe the changes in future trajectories through a\u0000system's phase space as a result of informational interventions (erasures or\u0000scrambling). This allows for a more general formalisation of semantic\u0000information that does not assume a primary role for the viability of a\u0000subsystem (to use examples from Kolchinsky & Wolpert (2018), a rock, a\u0000hurricane, or a cell). Many systems of interest have a semantic component, such\u0000as a neural network, but may not have such an intrinsic connection to viability\u0000as living organisms or dissipative structures. Hence this simple approach to\u0000semantic information could be applied to any living, non-living or\u0000technological system in order to quantify whether a given quantity of syntactic\u0000information within it also has semantic or causal power.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141587370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing self-adaptive network with thermodynamics 利用热力学设计自适应网络

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-06 DOI: arxiv-2407.04930

Mingyang Bai, Daqing Li

{"title":"Designing self-adaptive network with thermodynamics","authors":"Mingyang Bai, Daqing Li","doi":"arxiv-2407.04930","DOIUrl":"https://doi.org/arxiv-2407.04930","url":null,"abstract":"For real-world complex system constantly enduring perturbation, to achieve\u0000survival goal in changing yet unknown environments, the central problem is\u0000designing a self-adaptation strategy instead of fixed control strategies, which\u0000enables system to adjust its internal multi-scale structure according to\u0000environmental feedback. Inspired by thermodynamics, we develop a self-adaptive\u0000network utilizing only macroscopic information to achieve desired landscape\u0000through reconfiguring itself in unknown environments. By continuously\u0000estimating environment entropy, our designed self-adaptive network can\u0000adaptively realize desired landscape represented by topological measures. The\u0000adaptability of this network is achieved under several scenarios, including\u0000confinement on phase space and geographic constraint. The adaptation process is\u0000described by relative entropy corresponding to the Boltzmann H function, which\u0000decreases with time following unique power law distinguishing our self-adaptive\u0000network from memoryless systems. Moreover, we demonstrate the transformability\u0000of our self-adaptive network, as a critical mechanism of complex system\u0000resilience, allowing for transitions from one target landscape to another.\u0000Compared to data-driven methods, our self-adaptive network is understandable\u0000without careful choice of learning architecture and parameters. Our designed\u0000self-adaptive network could help to understand system intelligence through the\u0000lens of thermodynamics.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141573464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization dynamics and fluctuations in the self-organization of vascular networks 血管网络自组织中的优化动力学和波动性

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-04 DOI: arxiv-2407.04120

Konstantin Klemm, Erik Andreas Martens

{"title":"Optimization dynamics and fluctuations in the self-organization of vascular networks","authors":"Konstantin Klemm, Erik Andreas Martens","doi":"arxiv-2407.04120","DOIUrl":"https://doi.org/arxiv-2407.04120","url":null,"abstract":"The model by Hu and Cai [Phys. Rev. Lett., Vol. 111(13) (2013)1 ] describes\u0000the self-organization of vascular networks for transport of fluids from source\u0000to sinks. Diameters, and thereby conductances, of vessel segments evolve so as\u0000to minimize a cost functional E. The cost is the trade-off between the power\u0000required for pumping the fluid and the energy consumption for vessel\u0000maintenance. The model has been used to show emergence of cyclic structures in\u0000the presence of locally fluctuating demand, i.e. non-constant net flow at sink\u0000nodes. Under rapid and sufficiently large fluctuations, the dynamics exhibits\u0000bistability of tree-like and cyclic network structures. We compare these\u0000solutions in terms of the cost functional E. Close to the saddle-node\u0000bifurcation giving rise to the cyclic solutions, we find a parameter regime\u0000where the tree-like solution rather than the cyclic solution is cost-optimal.\u0000Further increase of fluctuation amplitude then leads to an additional\u0000transition at which the cyclic solution becomes optimal. The findings hold both\u0000in a small system of one source and two sinks and in an empirical vascular\u0000network with hundreds of sinks. In the small system, we further analyze the\u0000case of slower fluctuations, i.e., on the same time scale as network\u0000adaptation. We find that the noisy dynamics settles around the cyclic\u0000structures even when these structures are not cost-optimal.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141573440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Continuum limit of the adaptive Kuramoto model 自适应仓本模型的连续极限

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-03 DOI: arxiv-2407.03433

Rok Cestnik, Erik A. Martens

引用次数: 0

Birth, Death, and Horizontal Flight: Malthusian flocks with an easy plane in three dimensions 出生、死亡和水平飞行：马尔萨斯羊群的三维简易平面

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-07-03 DOI: arxiv-2407.03071

John Toner

引用次数: 0