arXiv: Adaptation and Self-Organizing Systems最新文献_第3页

A multi-layer model for self-propelled disks interacting through alignment and volume exclusion 通过对准和容积排除相互作用的自走盘多层模型

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2015-02-19 DOI: 10.1142/S021820251540014X

P. Degond, L. Navoret

引用次数: 13

Dynamics of Cluster Synchronisation in Modular Networks: Implications for Structural and Functional Networks 模块化网络中的集群同步动力学:对结构和功能网络的影响

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2014-11-11 DOI: 10.1007/978-3-319-17037-4_4

Jake P. Stroud, Mauricio Barahona, T. Pereira

引用次数: 7

Self-organization and chaos in the metabolism of a cell 细胞新陈代谢中的自组织和混乱

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2014-09-28 DOI: 10.7124/bc.0008B9

V. Grytsay, I. V. Musatenko

{"title":"Self-organization and chaos in the metabolism of a cell","authors":"V. Grytsay, I. V. Musatenko","doi":"10.7124/bc.0008B9","DOIUrl":"https://doi.org/10.7124/bc.0008B9","url":null,"abstract":"Aim. To study the dynamics of auto-oscillations arising at the level of enzyme-substrate interaction in a cell and to find the conditions for the self-organization and the formation of chaos in the metabolic process. Methods. A mathematical model of the metabolic process of steroids transformation in Arthrobacter globiformis. The mathematical apparatus of nonlinear dynamics. Results. The bifurcations resulting in the appearance of strange attractors in the metabolic process are determined. The projections of the phase portraits of attractors are constructed for some chosen modes. The total spectra of Lyapunov's indices are calculated. The structural stability of the attractors obtained is studied. By the general scenario of formation of regular and strange attractors, the structural-functional connections in the metabolic process in the cell are found. Their physical nature is investigated. Conclusions. The presented model explains the mechanism of formation of auto-oscillations observed in the A. globiformis cells and demonstrates a possibility of the mathematical modeling of metabolic processes for the physical explanation of the self-organization of a cell and its vital activity.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115883182","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: 10

Study of A Model for the Distribution of Wealth 财富分配模型的研究

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2014-07-28 DOI: 10.1007/978-3-319-12328-8_1

Y. Pomeau, R. López-Ruiz

引用次数: 0

Self-organized escape processes of linear chains in nonlinear potentials 非线性电位下线性链的自组织逃逸过程

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2014-06-04 DOI: 10.1142/9789814590297_0022

Torsten Gross, D. Hennig, L. Schimansky-Geier

引用次数: 2

Information Path from Randomness and Uncertainty to Information, Thermodynamics, and Intelligence of Observer 从随机性和不确定性到观察者的信息、热力学和智能的信息路径

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2014-01-27 DOI: 10.5121/IJIT.2014.3404

Vladimir S. Lerner

{"title":"Information Path from Randomness and Uncertainty to Information, Thermodynamics, and Intelligence of Observer","authors":"Vladimir S. Lerner","doi":"10.5121/IJIT.2014.3404","DOIUrl":"https://doi.org/10.5121/IJIT.2014.3404","url":null,"abstract":"Introduced path connects the topics in common concept: integral information measure and symmetry. Initial path' sequence axiomatic probability distributions of stochastic multidimensional process transfers each priory to posteriori probabilities alternating probabilities over process trajectory. Emerging Bayesian probabilities entropy defines process uncertainty measure. Probability transitions model interactive random process generated by idealized virtual measurements of uncertainty as observable process of potential observer. When the measurements test uncertainty by interactive impulses its inferring certain posteriori probability starts converting uncertainty to certainty information. Observable uncertain impulse becomes certain control extracting maximum information from each observed minima and initiating information observer with internal process during conversion. Multiple trial actions produce observed frequency of the events measured probability actually occurred. Dual minimax principle of maxmim extraction and minimax consumption information is mathematical law whose variation equations determine observer structure and functionally unify regularities. Impulse controls cutoff the minimax, convert external process to internal information micro and macrodynamics through integral measuring, multiple trials, verification symmetry, cooperation, enfoldment in logical hierarchical information network IN and feedback path to observations; IN high level logic originates observer intelligence requesting new quality information. Functional regularities create integral logic selfoperating observations, inner dynamical and geometrical structures with boundary shaped by IN information geometry in timespace cooperative processes, and physical substances, observer cognition,intelligence. Logic holds invariance information and physical regularities of minimax law.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121590349","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: 10

Resource Redistribution under Lack of Information: Short-Term Recovery after Large Scale Disasters 信息缺失下的资源再分配:大规模灾害后的短期恢复

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2013-12-22 DOI: 10.15748/JASSE.3.1

V. Lubashevskiy, T. Kanno, K. Furuta

{"title":"Resource Redistribution under Lack of Information: Short-Term Recovery after Large Scale Disasters","authors":"V. Lubashevskiy, T. Kanno, K. Furuta","doi":"10.15748/JASSE.3.1","DOIUrl":"https://doi.org/10.15748/JASSE.3.1","url":null,"abstract":"The paper is devoted to the problem of disaster mitigation. It develops an emergent mechanism of resource redistribution aimed at recovering of a socio-technological system affected by a large scale disaster. The basic requirements to the short-term recovery are taken into account in constructing this mechanism. The system at hand consists of many individual units (cities) and the mechanism is based on their cooperative interaction, which makes the resource redistribution efficient regardless of the particular position of affected region. Previously we studied the dynamics of supply process governed by this mechanism when all the information about the system is available and actual from the beginning of the process (V. Lubashevskiy, T. Kanno, K. Furuta, arXiv:1310.0648). In the present paper we analyze the effects of lack of information on the resource delivery rate. Two scenarios of the lack of information are allowed for. The first one is the delay of the information about the city states. The second one is its incompleteness. As a result of simulation, it is demonstrated that the duration of the resource redistribution governed by the developed mechanism is weakly affected by the lack of information.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"413 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133088085","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: 5

Idiosyncrasy as an Explanation for Power Laws in Nature 特质作为自然界幂律的一种解释

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2013-12-12 DOI: 10.1007/978-3-319-08138-0_13

S. Pueyo

引用次数: 0

Phase Transitions in Models of Bird Flocking 鸟群模型中的相变

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2013-09-25 DOI: 10.1142/9789814602136_0019

H. Christodoulidi, K. Weele, C. Antonopoulos, T. Bountis

引用次数: 4

Applying Complexity Theory to a Dynamical Process Model of the Development of Pathological Belief Systems 将复杂性理论应用于病态信念系统发展的动态过程模型

arXiv: Adaptation and Self-Organizing Systems Pub Date : 2013-09-23 DOI: 10.14288/1.0364152

B. O'Connor, L. Gabora

引用次数: 3