Self-organization of the critical state in a chain of SQUIDs

JETP Letters ◽  
1998 ◽  
Vol 68 (9) ◽  
pp. 719-725 ◽  
Author(s):  
S. L. Ginzburg ◽  
E. Savitskaya
Keyword(s):  
Critical State ◽  
Self Organization ◽  
A Chain

scholarly journals Self-replication of a quantum artificial organism driven by single-photon pulses

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel Valente
Keyword(s):  
Self Assembly ◽  
Artificial Life ◽  
Single Photon ◽  
Self Organization ◽  
Physical Systems ◽  
Self Organized ◽  
Living Organisms ◽  
A Chain ◽  
Thermodynamic Mechanism ◽  
Self Replication

AbstractImitating the transition from inanimate to living matter is a longstanding challenge. Artificial life has achieved computer programs that self-replicate, mutate, compete and evolve, but lacks self-organized hardwares akin to the self-assembly of the first living cells. Nonequilibrium thermodynamics has achieved lifelike self-organization in diverse physical systems, but has not yet met the open-ended evolution of living organisms. Here, I look for the emergence of an artificial-life code in a nonequilibrium physical system undergoing self-organization. I devise a toy model where the onset of self-replication of a quantum artificial organism (a chain of lambda systems) is owing to single-photon pulses added to a zero-temperature environment. I find that spontaneous mutations during self-replication are unavoidable in this model, due to rare but finite absorption of off-resonant photons. I also show that the replication probability is proportional to the absorbed work from the photon, thereby fulfilling a dissipative adaptation (a thermodynamic mechanism underlying lifelike self-organization). These results hint at self-replication as the scenario where dissipative adaptation (pointing towards convergence) coexists with open-ended evolution (pointing towards divergence).

scholarly journals Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Andrey Dmitriev ◽  
Victor Dmitriev ◽  
Stepan Balybin
Keyword(s):  
Time Series ◽  
Critical State ◽  
Empirical Investigation ◽  
Phenomenological Theory ◽  
Self Organization ◽  
Protest Movements ◽  
Self Organized ◽  
Self Organized Criticality ◽  
Stochastic Sources ◽  
Adiabatic Mode

Recently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Inspired by this phenomenon, we built a phenomenological model that describes Twitter’s self-organization in a critical state. An external manifestation of this condition is the spread of avalanches of microposts on the network. The model is based on a fractional three-parameter self-organization scheme with stochastic sources. It is shown that the adiabatic mode of self-organization in a critical state is determined by the intensive coordinated action of a relatively small number of network users. To identify the critical states of the network and to verify the model, we have proposed a spectrum of three scaling indicators of the observed time series of microposts.

scholarly journals HISTORICAL STREET SCENE EVALUATION USING SELF-ORGANIZATION CRITICAL STATE ANALYSIS(Urban Planning)

2006 ◽  
Vol 12 (23) ◽  
pp. 399-404
Author(s):  
Mitsuhiro TOKUDA ◽  
Toshio HONMA ◽  
Yasumitsu MATSUNAGA ◽  
Tomohiro SUGA ◽  
Kumiko MORIZONO ◽  
...  
Keyword(s):  
Urban Planning ◽  
Critical State ◽  
Self Organization ◽  
Street Scene ◽  
State Analysis

Self-organization of a critical state on complex networks

2009 ◽  
Vol 109 (6) ◽  
pp. 1022-1031
Author(s):  
S. L. Ginzburg ◽  
A. V. Nakin ◽  
N. E. Savitskaya
Keyword(s):  
Complex Networks ◽  
Critical State ◽  
Self Organization

COMPLEX BEHAVIOR OF A PREDATOR-PREY MODEL WITH DISCRETE GENOTYPE

2001 ◽  
Vol 12 (06) ◽  
pp. 807-817 ◽  
Author(s):  
S. G. F. MARTINS ◽  
A. T. COSTA ◽  
JÚLIO S. S. BUENO FILHO ◽  
T. J. P. PENNA
Keyword(s):  
Natural Selection ◽  
Critical State ◽  
Self Organization ◽  
Complex Behavior ◽  
Predator Prey ◽  
Predator Prey Model ◽  
Prey Model ◽  
Genotype Space ◽  
The Many

Inspired by the work of Ray et al., we study a model of predator-prey dynamics that incorporates the effects of a discrete genotype. We thoroughly analyze the many features of the model, and show that the system seems to reach a critical state in the genotype space, with some evidence of self-organization. Our results present the effects of natural selection at work in genotype space. The presence of the discrete genotype seems to make the model more robust to small variations of the main parameters, when compared to the bare Lotka–Volterra dynamics.

scholarly journals Single-Cell Reprogramming of Mouse Embryo Development Through a Critical Transition State

2017 ◽  
Author(s):  
Masa Tsuchiya ◽  
Alessandro Giuliani ◽  
Kenichi Yoshikawa
Keyword(s):  
Transition State ◽  
Single Cell ◽  
Critical State ◽  
Early Embryo ◽  
Self Organization ◽  
Cell Reprogramming ◽  
Critical Transition ◽  
Critical States ◽  
Oscillatory Dynamics ◽  
Soc Control

AbstractOur work dealing with the temporal development of the genome-expression profile in single-cell mouse early embryo indicated that reprogramming occurs via a critical transition state, where the critical-regulation pattern of the zygote state disappears. In this report, we unveil the detailed mechanism of how the dynamic interaction of thermodynamic states (critical states) enables the genome system to pass through the critical transition state to achieve genome reprogramming.Self-organized criticality (SOC) control of overall expression provides a snapshot of self-organization and explains the coexistence of critical states at a certain experimental time point. The time-development of self-organization is dynamically modulated by exchanges in expression flux between critical states through the cell nucleus milieu, where sequential global perturbations involving activation-inhibition of multiple critical states occur from the early state to the late 2-cell state. Two cyclic fluxes act as feedback flow and generate critical-state coherent oscillatory dynamics. Dynamic perturbation of these cyclic flows due to vivid activation of the ensemble of low-variance expression (sub-critical state) genes allows the genome system to overcome a transition state during reprogramming.Our findings imply that a universal mechanism of long-term global RNA oscillation underlies autonomous SOC control, and the critical gene ensemble at a critical point (CP) drives genome reprogramming. Unveiling the corresponding molecular players will be essential to understand single-cell reprogramming.

scholarly journals Signal-Based Self-Organization of a Chain of UAVs for Subterranean Exploration

2021 ◽  
Vol 8 ◽  
Author(s):  
Pierre Laclau ◽  
Vladislav Tempez ◽  
Franck Ruffier ◽  
Enrico Natalizio ◽  
Jean-Baptiste Mouret
Keyword(s):  
Kalman Filter ◽  
Optic Flow ◽  
Distributed Algorithm ◽  
Base Station ◽  
Experimental Results ◽  
Self Organization ◽  
Signal Quality ◽  
Ground Speed ◽  
A Chain ◽  
Flying Robots

Miniature multi-rotors are promising robots for navigating subterranean networks, but maintaining a radio connection underground is challenging. In this paper, we introduce a distributed algorithm, called U-Chain (for Underground-chain), that coordinates a chain of flying robots between an exploration drone and an operator. Our algorithm only uses the measurement of the signal quality between two successive robots and an estimate of the ground speed based on an optic flow sensor. It leverages a distributed policy for each UAV and a Kalman filter to get reliable estimates of the signal quality. We evaluate our approach formally and in simulation, and we describe experimental results with a chain of 3 real miniature quadrotors (12 by 12 cm) and a base station.

Polymer Crystallization as the Self-Organization of Chain Macromolecules

1994 ◽  
Vol 49 (11) ◽  
pp. 1045-1052 ◽  
Author(s):  
A. I. Melker ◽  
T. V. Vorobyeva
Keyword(s):  
Strong Interaction ◽  
Md Simulation ◽  
Supermolecular Structure ◽  
Analytical Description ◽  
Amorphous Structure ◽  
The Self ◽  
Self Organization ◽  
Straight Chain ◽  
Nearest Neighbours ◽  
A Chain

Abstract MD simulation is used to investigate ther self-organization exhibited by a chain o f atom s with strong interaction between nearest neighbours and weak interaction between more distant atoms. It is shown that the supermolecular structure is formed in several steps: at first, an initially straight chain becom es zigzag-shaped, then the zigzag ribbon folds, producing regions of crystalline and amorphous structure; after that the system contracts into a globe, the amorphous-structure regions transforming into crystalline ones by a reptile like motion. A simple analytical description of such polymer structuring is also given.

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