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Journal articles on the topic 'Self-organized systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 May 2022

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1

London, Silvia, and Fernando Tohmé. "Evolutionary Self-Organized Systems." IFAC Proceedings Volumes 31, no. 16 (1998): 105–9. http://dx.doi.org/10.1016/s1474-6670(17)40466-6.

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2

Cole, Blaine J. "Evolution of Self-Organized Systems." Biological Bulletin 202, no. 3 (2002): 256–61. http://dx.doi.org/10.2307/1543476.

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3

PLOTNICK, R. E. "Self-Organized Criticality in Earth Systems." PALAIOS 18, no. 6 (2003): 588–89. http://dx.doi.org/10.1669/0883-1351(2003)018<0588:br>2.0.co;2.

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4

Fonstad, Mark, and W. Andrew Marcus. "Self-Organized Criticality in Riverbank Systems." Annals of the Association of American Geographers 93, no. 2 (2003): 281–96. http://dx.doi.org/10.1111/1467-8306.9302002.

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5

KIMURA, Mutsumi, and Hirofusa SHIRAI. "Functions of Self-Organized Molecular Systems." Kobunshi 51, no. 4 (2002): 255. http://dx.doi.org/10.1295/kobunshi.51.255.

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6

Buchegger, Sonja, Jochen Mundinger, and Jean-Yves Le Boudec. "Reputation Systems for Self-Organized Networks." IEEE Technology and Society Magazine 27, no. 1 (2008): 41–47. http://dx.doi.org/10.1109/mts.2008.918039.

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7

Tadić, Bosiljka. "Self-organized criticality in disordered systems." Philosophical Magazine B 77, no. 2 (1998): 277–85. http://dx.doi.org/10.1080/13642819808204953.

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8

Auger, Pierre M. "Self-organization in hierarchically organized systems." Systems Research 7, no. 4 (1990): 221–36. http://dx.doi.org/10.1002/sres.3850070402.

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9

Middleton, A. Alan, and Chao Tang. "Self-Organized Criticality in Nonconserved Systems." Physical Review Letters 74, no. 5 (1995): 742–45. http://dx.doi.org/10.1103/physrevlett.74.742.

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10

Holliger, Klaus. "Self-Organized Criticality in Earth Systems." Eos, Transactions American Geophysical Union 84, no. 9 (2003): 84. http://dx.doi.org/10.1029/2003eo090009.

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11

Tadic, Bosiljka. "Self-organized criticality in disordered systems." Philosophical Magazine B 77, no. 2 (1998): 277–85. http://dx.doi.org/10.1080/014186398259356.

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12

Adami, C. "Self-organized criticality in living systems." Physics Letters A 203, no. 1 (1995): 29–32. http://dx.doi.org/10.1016/0375-9601(95)00372-a.

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13

WOLL, A. R., P. RUGHEIMER, and M. G. LAGALLY. "SELF-ORGANIZED QUANTUM DOTS." International Journal of High Speed Electronics and Systems 12, no. 01 (2002): 45–78. http://dx.doi.org/10.1142/s0129156402001125.

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We review the concepts and principal experimental results pertaining to the self-assembly and self-ordering of quantum dots in semiconductor systems. We focus on the kinetics and thermodynamics of the formation and evolution of coherently strained 3D islands, and the effects of strain on nucleation, growth, and island shape. We also discuss ongoing research on methods to control the density, size, and size distributions of strained islands, both within a single strained layer and in quantum dot (QD) multilayers.

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14

L'Heureux, Ivan. "Self-organized rhythmic patterns in geochemical systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 2004 (2013): 20120356. http://dx.doi.org/10.1098/rsta.2012.0356.

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Chemical oscillating patterns are ubiquitous in geochemical systems. Although many such patterns result from systematic variations in the external environmental conditions, it is recognized that some patterns are due to intrinsic self-organized processes in a non-equilibrium nonlinear system with positive feedback. In rocks and minerals, periodic precipitation (Liesegang bands) and oscillatory zoning constitute good examples of patterns that can be explained using concepts from nonlinear dynamics. Generally, as the system parameters exceed some threshold values, the steady (time-independent) s

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15

Sloot, P. M. A., B. J. Overeinder, and A. Schoneveld. "Self-organized criticality in simulated correlated systems." Computer Physics Communications 142, no. 1-3 (2001): 76–81. http://dx.doi.org/10.1016/s0010-4655(01)00325-3.

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16

Socolar, J. E. S., G. Grinstein, and C. Jayaprakash. "On self-organized criticality in nonconserving systems." Physical Review E 47, no. 4 (1993): 2366–76. http://dx.doi.org/10.1103/physreve.47.2366.

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17

Budroni, Marcello A., Federico Rossi, Nadia Marchettini, Florian Wodlei, Pierandrea Lo Nostro, and Mauro Rustici. "Hofmeister Effect in Self-Organized Chemical Systems." Journal of Physical Chemistry B 124, no. 43 (2020): 9658–67. http://dx.doi.org/10.1021/acs.jpcb.0c06956.

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18

Fernandez, J., A. Plastino, and L. Diambra. "Self-organized criticality in coevolving interacting systems." Physical Review E 52, no. 5 (1995): 5700–5703. http://dx.doi.org/10.1103/physreve.52.5700.

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19

Rundle, J. B. "Self-organized criticality in earth systems [Book Review]." Computing in Science & Engineering 5, no. 5 (2003): 80–82. http://dx.doi.org/10.1109/mcise.2003.1225866.

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20

Wiendahl, H. P., and V. Ahrens. "Agent-Based Control of Self-Organized Production Systems." CIRP Annals 46, no. 1 (1997): 365–68. http://dx.doi.org/10.1016/s0007-8506(07)60844-0.

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21

De Los Rios, Paolo, Angelo Valleriani, and José Luis Vega. "Self-organized criticality in deterministic systems with disorder." Physical Review E 57, no. 6 (1998): 6451–59. http://dx.doi.org/10.1103/physreve.57.6451.

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22

Goldstone, Robert L., and Michael E. Roberts. "Self-organized trail systems in groups of humans." Complexity 11, no. 6 (2006): 43–50. http://dx.doi.org/10.1002/cplx.20135.

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23

Liu, Lei, and Fei Hu. "Self-organized cooperative criticality in coupled complex systems." EPL (Europhysics Letters) 105, no. 4 (2014): 40006. http://dx.doi.org/10.1209/0295-5075/105/40006.

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24

Soumya, T., and Sabu M. Thampi. "Self-organized night video enhancement for surveillance systems." Signal, Image and Video Processing 11, no. 1 (2016): 57–64. http://dx.doi.org/10.1007/s11760-016-0893-6.

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25

Böszörmenyi, Laszlo, Manfred del Fabro, Marian Kogler, Mathias Lux, Oge Marques, and Anita Sobe. "Innovative directions in self-organized distributed multimedia systems." Multimedia Tools and Applications 51, no. 2 (2010): 525–53. http://dx.doi.org/10.1007/s11042-010-0622-z.

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26

Park, C. L., H. S. Hock, and G. Schoner. "Dynamical model for self-organized pattern formation." Journal of Vision 1, no. 3 (2010): 370. http://dx.doi.org/10.1167/1.3.370.

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27

Wada, Mitsuo. "Special Article of Chaos, Self-Organized System." Journal of Robotics and Mechatronics 8, no. 4 (1996): 317. http://dx.doi.org/10.20965/jrm.1996.p0317.

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The actual environments under which robots are going to operate from now on are complex and sometimes unstable unlike the arranged environments in factories. It is becoming increasingly necessary for the robots to be able to cope with complexities by maintaining a symbiotic relationship with man who are behaving in mental world in various manners and life styles. This is not a task for the distant future but has already been posing daily problems in the fields of computer information communications that reach an international networked society. In this world, there is already a limitation to t

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28

Linkerhand, Mathias, and Claudius Gros. "Self-organized stochastic tipping in slow-fast dynamical systems." Mathematics and Mechanics of Complex Systems 1, no. 2 (2013): 129–47. http://dx.doi.org/10.2140/memocs.2013.1.129.

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29

Arenas, Alex, Albert Dı́az-Guilera, Conrad J. Pérez, and Fernando Vega-Redondo. "Self-organized criticality in evolutionary systems with local interaction." Journal of Economic Dynamics and Control 26, no. 12 (2002): 2115–42. http://dx.doi.org/10.1016/s0165-1889(01)00025-2.

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30

Lorenzana, J., C. Castellani, and C. Di Castro. "Maximum size of self-organized inhomogeneities in electronic systems." Journal of Magnetism and Magnetic Materials 272-276 (May 2004): E1021—E1022. http://dx.doi.org/10.1016/j.jmmm.2003.12.442.

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31

Usychenko, V. G. "Differences and similarities between self-organizing and organized systems." Technical Physics 56, no. 1 (2011): 22–29. http://dx.doi.org/10.1134/s1063784211010269.

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32

Zhang, Gui-Qing, Lin Wang, and Tian-Lun Chen. "Analysis of self-organized criticality in weighted coupled systems." Physica A: Statistical Mechanics and its Applications 388, no. 7 (2009): 1249–56. http://dx.doi.org/10.1016/j.physa.2008.12.043.

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33

Sarlis, N. V., E. S. Skordas, and P. A. Varotsos. "Similarity of fluctuations in systems exhibiting Self-Organized Criticality." EPL (Europhysics Letters) 96, no. 2 (2011): 28006. http://dx.doi.org/10.1209/0295-5075/96/28006.

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34

Correll, Nikolaus, and Alcherio Martinoli. "TOWARDS OPTIMAL CONTROL OF SELF-ORGANIZED ROBOTIC INSPECTION SYSTEMS." IFAC Proceedings Volumes 39, no. 15 (2006): 304–9. http://dx.doi.org/10.3182/20060906-3-it-2910.00052.

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35

Chubykalo, O., J. González, and J. M. González. "Occurrence of self-organized criticality in ordered magnetic systems." Journal of Applied Physics 81, no. 8 (1997): 4413–15. http://dx.doi.org/10.1063/1.364784.

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36

Vollmer, Martin S., Thomas D. Clark, Claudia Steinem, and M. Reza Ghadiri. "Photoswitchable Hydrogen-Bonding in Self-Organized Cylindrical Peptide Systems." Angewandte Chemie International Edition 38, no. 11 (1999): 1598–601. http://dx.doi.org/10.1002/(sici)1521-3773(19990601)38:11<1598::aid-anie1598>3.0.co;2-j.

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37

Åström, J. A., D. Vallot, M. Schäfer, et al. "Termini of calving glaciers as self-organized critical systems." Nature Geoscience 7, no. 12 (2014): 874–78. http://dx.doi.org/10.1038/ngeo2290.

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38

Paczuski, Maya. "Dynamic scaling: Distinguishing self-organized from generically critical systems." Physical Review E 52, no. 3 (1995): R2137—R2140. http://dx.doi.org/10.1103/physreve.52.r2137.

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39

Stapleton, Matthew, Martin Dingler, and Kim Christensen. "Sensitivity to Initial Conditions in Self-Organized Critical Systems." Journal of Statistical Physics 117, no. 5-6 (2004): 891–900. http://dx.doi.org/10.1007/s10955-004-5709-3.

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40

Mendonça, Maribel, Niriaska Perozo, and Jose Aguilar. "Ontological emergence scheme in self-organized and emerging systems." Advanced Engineering Informatics 44 (April 2020): 101045. http://dx.doi.org/10.1016/j.aei.2020.101045.

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41

Dilger, M., K. Eberl, R. J. Haug, and K. von Klitzing. "Self-organized growth of quantum dot-tunnel barrier systems." Superlattices and Microstructures 21, no. 4 (1997): 533–39. http://dx.doi.org/10.1006/spmi.1996.0190.

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42

Vladimirov, V. V., and E. V. Vladimirova. "Fractal Manifold Method in Systems with Self-Organized Criticality." International Journal of Engineering Research and Technology 13, no. 11 (2020): 3835. http://dx.doi.org/10.37624/ijert/13.11.2020.3835-3839.

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43

Aschwanden, Markus J. "Finite System-size Effects in Self-organized Criticality Systems." Astrophysical Journal 909, no. 1 (2021): 69. http://dx.doi.org/10.3847/1538-4357/abda48.

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44

Merino-Salomón, Adrián, Leon Babl, and Petra Schwille. "Self-organized protein patterns: The MinCDE and ParABS systems." Current Opinion in Cell Biology 72 (October 2021): 106–15. http://dx.doi.org/10.1016/j.ceb.2021.07.001.

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45

Batty, Michael, and Yichun Xie. "Self-organized criticality and urban development." Discrete Dynamics in Nature and Society 3, no. 2-3 (1999): 109–24. http://dx.doi.org/10.1155/s1026022699000151.

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Urban society is undergoing as profound a spatial transformation as that associated with the emergence of the industrial city two centuries ago. To describe and measure this transition, we introduce a new theory based on the concept that large-scale, complex systems composed of many interacting elements, show a surprising degree of resilience to change, holding themselves at critical levels for long periods until conditions emerge which move the system, often abruptly, to a new threshold. This theory is called ‘self-organized criticality’; it is consistent with systems in which global patterns

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46

HORVÁTH, DENIS, and MARTIN GMITRA. "THE SELF-ORGANIZED MULTI-LATTICE MONTE CARLO SIMULATION." International Journal of Modern Physics C 15, no. 09 (2004): 1249–68. http://dx.doi.org/10.1142/s0129183104006674.

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Self-organized Monte Carlo simulations of 2D Ising ferromagnet on the square lattice are performed. The essence of the suggested simulation method is an artificial dynamics consisting of the well-known single-spin-flip Metropolis algorithm supplemented by a random walk on the temperature axis. The walk is biased towards the critical region through a feedback based on instantaneous energy and magnetization cumulants, which are updated at every Monte Carlo step and filtered through a special recursion algorithm. The simulations revealed the invariance of the temperature probability distribution

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47

AMBJØRN, J., J. JURKIEWICZ, and R. LOLL. "THE SELF-ORGANIZED DE SITTER UNIVERSE." International Journal of Modern Physics D 17, no. 13n14 (2008): 2515–20. http://dx.doi.org/10.1142/s0218271808014011.

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We propose a theory of quantum gravity which formulates the quantum theory as a nonperturbative path integral, where each space–time history appears with the weight exp (iS EH ), with S EH the Einstein–Hilbert action of the corresponding causal geometry. The path integral is diffeomorphism-invariant (only geometries appear) and background-independent. The theory can be investigated by computer simulations, which show that a de Sitter universe emerges on large scales. This emergence is of an entropic, self-organizing nature, with the weight of the Einstein–Hilbert action playing a minor role. A

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48

Hock, H. S., C. L. Park, and G. Schoner. "A model of self-organized motion pattern formation." Journal of Vision 1, no. 3 (2010): 371. http://dx.doi.org/10.1167/1.3.371.

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49

Droste, Felix, Anne-Ly Do, and Thilo Gross. "Analytical investigation of self-organized criticality in neural networks." Journal of The Royal Society Interface 10, no. 78 (2013): 20120558. http://dx.doi.org/10.1098/rsif.2012.0558.

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Dynamical criticality has been shown to enhance information processing in dynamical systems, and there is evidence for self-organized criticality in neural networks. A plausible mechanism for such self-organization is activity-dependent synaptic plasticity. Here, we model neurons as discrete-state nodes on an adaptive network following stochastic dynamics. At a threshold connectivity, this system undergoes a dynamical phase transition at which persistent activity sets in. In a low-dimensional representation of the macroscopic dynamics, this corresponds to a transcritical bifurcation. We show a

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50

BIANCONI, GINESTRA. "SELF-ORGANIZED NETWORKS AS A REPRESENTATION OF QUANTUM STATISTICS." International Journal of Modern Physics B 14, no. 29n31 (2000): 3356–61. http://dx.doi.org/10.1142/s0217979200003824.

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A new class of self organized networks is described that is relevant to understand the emerging order in a large number of complex systems such as growing biological systems, the web, and heterogeneous phases of correlated condensed matter systems formed by doping. The Bose and Fermi quantum distributions are shown to be the right tool to describe the two extreme limit distributions, the fermionic Cayley-tree network and the bosonic scale-free network. In this new large class of self-organized networks the two different types of self organization coexists, maintaining the same 'ergodic' nature

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