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Journal articles on the topic 'Self-organization theory'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Olemskoi, A. I., A. V. Khomenko, and D. A. Olemskoi. "Field theory of self-organization." Physica A: Statistical Mechanics and its Applications 332 (February 2004): 185–206. http://dx.doi.org/10.1016/j.physa.2003.10.035.

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2

Kahn, David, and J. Allan Hobson. "Self-organization theory of dreaming." Dreaming 3, no. 3 (1993): 151–78. http://dx.doi.org/10.1037/h0094378.

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3

Lemke, J. L. "Self-Organization and Psychological Theory." Theory & Psychology 6, no. 2 (1996): 352–56. http://dx.doi.org/10.1177/0959354396062020.

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4

Letiche, Hugo. "Self-Organization, Action Theory, and Entrainment." Emergence 2, no. 2 (2000): 58–71. http://dx.doi.org/10.1207/s15327000em0202_04.

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5

LICHTENSTEIN, BENYAMIN BERGMANN, and CANDACE JONES. "A SELF-ORGANIZATION THEORY OF RADICAL ENTREPRENEURSHIP." Academy of Management Proceedings 2004, no. 1 (2004): K1—K6. http://dx.doi.org/10.5465/ambpp.2004.13857712.

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6

Malinetsky, Georgy G. "Culture, Humanitarian Knowledge and Self-Organization Theory." Observatory of Culture 18, no. 4 (2021): 340–51. http://dx.doi.org/10.25281/2072-3156-2021-18-4-340-351.

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In the 1950s, Charles Snow wrote about the growing gap between the humanities and natural science cultures. He saw this as a great danger both for science itself and for all humankind. In Russia, it was complemented by a crisis of humanitarian knowledge. The article considers the ways to overcome this crisis and build a bridge between cultures.The solution of these problems is associated with the development of interdisciplinary approaches in general, and the theory of self-organization in particular. Synergetics today represents an approach that lies at the intersection of subject knowledge,

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7

Nowiński, Czesław. "Self-organization and the Theory of Evolution." Filozofia i Nauka 1, no. 12 (2024): 95–118. http://dx.doi.org/10.37240/fin.2024.12.1.8.

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8

Valanis, K. C. "A gradient thermodynamic theory of self-organization." Acta Mechanica 127, no. 1-4 (1998): 1–23. http://dx.doi.org/10.1007/bf01170359.

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9

Chemero, Anthony. "Modeling Self-Organization With Nonwellfounded Set Theory." Ecological Psychology 24, no. 1 (2012): 46–59. http://dx.doi.org/10.1080/10407413.2012.643729.

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10

YOSHIOMI, KONDOH, TAKAHASHI TOSHIKI, and JAMES W. VAN DAM. "Equilibrium through self-organization and a stability condition derived from generalized self-organization theory." Journal of Plasma Physics 72, no. 06 (2006): 901. http://dx.doi.org/10.1017/s0022377806005083.

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11

Taniguchi, Takashi. "Self-Consistent Field Theory and Density Functional Theory for Self-Organization in Polymeric Systems." Journal of the Physical Society of Japan 78, no. 4 (2009): 041009. http://dx.doi.org/10.1143/jpsj.78.041009.

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12

Molenaar, Peter C. M., and Han L. J. van der Maas. "Neural constructivism or self-organization?" Behavioral and Brain Sciences 23, no. 5 (2000): 783–84. http://dx.doi.org/10.1017/s0140525x00233451.

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Three arguments are given to show that neural constructivism lacks an essential ingredient to explain cognitive development. Based on results in the theory of adaptive signal analysis, adaptive biological pattern information and self-organization in nonlinear systems of information processing, it is concluded that neural constructivism should be further extended to accommodate the occurrence of phase transitions generating qualitative development in the sense of Piaget.

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13

Li, Pu Hong, and Zhi Jun Fan. "Design Organization Management Based on Fractal Theory." Advanced Materials Research 403-408 (November 2011): 5288–93. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.5288.

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After analyzing the characteristic and present situation of design organization, this paper presented a new design organization—fractal design organization(FDO) based on fractal theory. FDO can be self similarity and self-organization, satisfy the design work. Therefore it can motivate creating potential of design organization, complete design task and beat the enterprise’s target.

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14

Hushcha, Тetiana, and Olexander Goushcha. "Cell Biology From a Self-organization Theory Perspective." Lesya Ukrainka Eastern European National University Scientific Bulletin. Series: Biological Sciences, no. 13(362) (July 9, 2018): 81–86. http://dx.doi.org/10.29038/2617-4723-2017-362-13-81-86.

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Self-organization is a universal functioning property of cellular systems. Still, due to nonlinear nature of biological entities, revealing the primary mechanisms of the process is an intricate task. Here we discuss recent progress in this respect focusing on examples from cytoskeleton, cardiomyocytes and neurons.

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15

Feng, Weidong, Guoguang He, and Bao Liu. "Study on its Based on Self-organization Theory." IFAC Proceedings Volumes 32, no. 2 (1999): 8345–50. http://dx.doi.org/10.1016/s1474-6670(17)57423-6.

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16

Qu, K., and P. Ortoleva. "Understanding stem cell differentiation through self-organization theory." Journal of Theoretical Biology 250, no. 4 (2008): 606–20. http://dx.doi.org/10.1016/j.jtbi.2007.10.019.

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17

Li, Xiaoping, Leinian Li, and Hanrui Miao. "Numerical cognition: A prospective on self-organization theory." International Journal of Psychophysiology 94, no. 2 (2014): 223–24. http://dx.doi.org/10.1016/j.ijpsycho.2014.08.882.

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18

Hernes, Tor, and Tore Bakken. "Implications of Self-Reference: Niklas Luhmann’s Autopoiesis and Organization Theory." Organization Studies 24, no. 9 (2003): 1511–35. http://dx.doi.org/10.1177/0170840603249007.

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This article reviews the potential of Niklas Luhmann’s autopoiesis as a contribution to organization theory. We consider organization theory to consist of three epistemological foundations, which we label equilibrium-based theory, process-based theory and recursivity-based theory. We review critically Luhmann’s autopoietic theory in relation to each of these three foundations. We suggest that whereas it deviates radically from equilibrium-based theory and deviates significantly from process-based theory, it holds potential in its complementarity with Giddens’s structuration theory in providing

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19

Поскина, T. Poskina, Филатова, et al. "Methods of chaos and self-organization in psychophysiology." Complexity. Mind. Postnonclassic 3, no. 1 (2014): 13–28. http://dx.doi.org/10.12737/3394.

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. All the H. Haken’s postulates (1970-2013) emphasize deterministic approach and level a value of trajectory of behavior of biological dynamic system in phase space of states. The significance of the latter theory is hard to overestimate, because according to phase space of states the new identification theory is being created and behavioral descriptions of biological dynamic systems are given. This new theory is based on measures of biological dynamic system parameters in phase space of states and does not need any concrete equations, it can be based on detection of quasi-attractors’ paramete

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20

Wu, Kun, Shan Zhang, and Tianqi Wu. "The Complex Relations between Organization and Disorganization and Their Conceptual System." Complexity 2021 (November 28, 2021): 1–8. http://dx.doi.org/10.1155/2021/2907061.

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For improving and developing self-organization theory in contemporary complex information systems theory, it is necessary to reinterpret related concepts and their relations and construct a conceptual system related to self-organization theory. Based on the latest research results, this article specifically discusses concepts of organization and disorganization, static organization and dynamic organization, static disorganization and dynamic disorganization, organizing and disorganizing, self-organization and other-organization, self-disorganization and other-disorganization, and their relatio

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21

Chai, L. H., and M. Shoji. "Self-Organization and Self-Similarity in Boiling Systems." Journal of Heat Transfer 124, no. 3 (2002): 507–15. http://dx.doi.org/10.1115/1.1470490.

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Boiling system is a typical open dissipative structure. Focusing on the investigation of boundary adjacent to heating plate surface in boiling system, nonlinear non-equilibrium statistical thermodynamics theory of open systems was originally constructed. The competitive bubble formation was realized by non-equilibrium phase transition caused by the interactions among active sites or bubbles. The “natural selection” among all possible sites was mathematically outlined. It was by the means of “natural selection” that a kind of self-organized and self-similar structure was formed. The present stu

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22

Tanaka, Shigeru. "Theory of self-organization of cortical maps: Mathematical framework." Neural Networks 3, no. 6 (1990): 625–40. http://dx.doi.org/10.1016/0893-6080(90)90053-n.

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23

T�lg, C., M. Zaiser, P. H�hner, and W. Frank. "Theory of radiation-induced self-organization of defect structures." Applied Physics A Solids and Surfaces 58, no. 1 (1994): 3–10. http://dx.doi.org/10.1007/bf00331511.

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24

T�g, C., P. H�hner, M. Zaiser, and W. Frank. "Theory of radiation-induced self-organization of defect structures." Applied Physics A Solids and Surfaces 58, no. 1 (1994): 11–19. http://dx.doi.org/10.1007/bf00331512.

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25

HASELWANDTER, CHRISTOPH A., and DIMITRI D. VVEDENSKY. "MULTISCALE THEORY OF FLUCTUATING INTERFACES: RENORMALIZATION AND SELF-ORGANIZATION." International Journal of Modern Physics B 21, no. 23n24 (2007): 4151–57. http://dx.doi.org/10.1142/s0217979207045335.

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A general procedure is presented for the multiscale analysis of atomistic models of fluctuating interfaces driven by the deposition of new material. Beginning with a lattice Langevin formulation of kinetic Monte Carlo simulations, we derive stochastic partial differential equations by regularizing the atomistic transition rules. Subsequent coarse-graining is accomplished by calculating renormalization-group trajectories from initial conditions determined by the regularized equations. We apply this methodology to the Wolf–Villain model of relaxation upon deposition and to a model for the self-o

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26

Fast, Irene. "Review of Selving: A Relational Theory of Self Organization." Psychoanalytic Psychology 17, no. 1 (2000): 186–89. http://dx.doi.org/10.1037/0736-9735.17.1.186.

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27

Khadartsev, Alexander A., Anatoly Alexandrovich Nesmeyanov, Valeriy Matveevich Eskov, Mikhail Alexandrovich Filatov, and Weidong Pan. "Fundamentals of Chaos and Self-Organization Theory in Sports." Integrative Medicine International 4, no. 1-2 (2017): 57–65. http://dx.doi.org/10.1159/000458153.

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28

Tanaka, Shigeru. "Theory of use-dependent self-organization of cortical maps." Neuroscience Research Supplements 15 (January 1990): S8. http://dx.doi.org/10.1016/0921-8696(90)90060-g.

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29

Tanaka, Shigeru. "Theory of use-dependent self-organization of cortical maps." Neuroscience Research Supplements 11 (January 1990): S8. http://dx.doi.org/10.1016/0921-8696(90)90483-j.

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30

Frisone, Francesco, Pietro G. Morasso, and Luca Perico. "Self-organization in Cortical Maps & EM-learning." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 6 (1998): 178–84. http://dx.doi.org/10.20965/jaciii.1998.p0178.

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Starting from the problem of density estimation, it is shown that Expectation Maximization (EM) learning can be considered a Hebbian mechanism. From this, it is possible to outline a theory of self-organization of cortical maps, which is based on a well-defined optimization process and preserves biologically desirable characteristics such as local computation and uniform treatment of input and lateral connections. A thalamocortical network is described that implements the theory in a fully distributed manner: it uses cortical dynamics for the E-step and Hebbian adaptation of cortico-cortical c

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31

MEARA, ALAN. "The Butterfly Effect in Therapy: Not Every Flap of a Butterfly's Wing..." Gestalt Review 3, no. 3 (1999): 205–25. http://dx.doi.org/10.2307/44394126.

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Abstract This paper presents aspects of Complexity, particularly Chaos theory and self-organization, and explores their usefulness for the theory of Gestalt practice. Traditional systems theory is reviewed from Complexity's nonlinear systems perspective, and examples are given of how the theory may relate to practitioner experience in individual and group work. The self-organization process is described as a model of change where order emerges from the system itself, rather than being imposed externally. A way of researching self-organization dynamics in Gestalt personal development groups is

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32

Yang, Yi, Hong-yan Yan, and Ze-yun Yang. "Mutual Guarantee Systems of Small and Medium-Sized Enterprises in China." International Journal of Asian Business and Information Management 1, no. 3 (2010): 1–9. http://dx.doi.org/10.4018/jabim.2010070101.

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Mutual guarantee systems (MGS) of small and medium enterprises (SMEs) ares complex system mainly serving the SMEs, including the mutual guarantee institutions formed by SMEs, financial institutions, industry associations and credit re-guarantee institutions. From the perspective of system theory, this paper illuminates the self-organization mechanisms and the self-organization characteristics of openness, far-from-equilibrium, nonlinearity and fluctuation of mutual guarantee systems of SMEs. The implication of self-organization theory is that under some conditions, mutual guarantee systems hav

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33

Li, Feng, Remco Tuinier, Ilse van Casteren, Ronald Tennebroek, Ad Overbeek, and Frans A. M. Leermakers. "Self-Organization of Polyurethane Pre-Polymers as Studied by Self-Consistent Field Theory." Macromolecular Theory and Simulations 25, no. 1 (2015): 16–27. http://dx.doi.org/10.1002/mats.201400106.

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34

Han, Hee-Kyung, Yeongmahn You, and So Young Son. "Development of a Sustainable Learning Organization Model Based on the Theory of Self-Organization." International Journal of Learning: Annual Review 13, no. 6 (2006): 87–94. http://dx.doi.org/10.18848/1447-9494/cgp/v13i06/44972.

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35

Jin, Hong, Wen Jing Guo, and Min Ji Kim. "Mechanism of Quantified-Self Consciousness in Customer Participation Behavior: Based on Self Concept Theory." Academic Society of Global Business Administration 21, no. 4 (2024): 87–114. http://dx.doi.org/10.38115/asgba.2024.21.4.87.

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The era of big data has driven quantified-self activity to become a common mass-life practice, yet there is a necessity of research on how to navigate through this problem now that quantified-self activity often produces results that are contrary to the original intent and creates data anxiety. Therefore, understanding the psychological dimension of the quantified-self would give new perspectives on individual and organization oriented positive outcomes. This study proposed the concept of quantified-self consciousness (QSC) based on the psychological dimension and investigated how customers' Q

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36

Liu, Qiang, Yuqiong Tong, and Danyu Zhao. "Empirical Analysis of Organization Quality-Specific Immune Evolution of Intelligent Manufacturing Enterprises Based on Self-Organization Methods." Computational Intelligence and Neuroscience 2022 (May 27, 2022): 1–15. http://dx.doi.org/10.1155/2022/6354820.

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Strengthening organization quality-specific immune is the key linkage to improve the quality performance of intelligent manufacturing enterprises. organization quality-specific immune is constructed by selecting four state variables of organization quality cognition, monitor, defense, and memory. Based on the perspective of self-organization, self-organization theory and methods are used to construct the evolution model of organization quality-specific immune. According to four state variables, the evolution of organization quality-specific immune of fourteen typical intelligent manufacturing

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37

Malinetsky, Georgy Gennadevich. "Theory of self-organization. On the cusp of IV paradigm." Computer Research and Modeling 5, no. 3 (2013): 315–36. http://dx.doi.org/10.20537/2076-7633-2013-5-3-315-336.

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38

Estrada-Jimenez, Luis Alberto, Terrin Pulikottil, Ricardo Silva Peres, Sanaz Nikghadam-Hojjati, and Jose Barata. "Complexity theory and self-organization in Cyber-Physical Production Systems." Procedia CIRP 104 (2021): 1831–36. http://dx.doi.org/10.1016/j.procir.2021.11.309.

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39

Weiwei, Wu, Ma Qian, Liu Yexin, Yang Ying, and Yue Suzhen. "Evolution of technology management system based on self-organization theory." Journal of Systems Engineering and Electronics 32, no. 6 (2021): 1439–49. http://dx.doi.org/10.23919/jsee.2021.000122.

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40

Avacheva, T. G., N. V. Bodyagin, S. P. Vikhrov, and S. M. Mursalov. "Study of self-organization in disordered materials using information theory." Semiconductors 42, no. 5 (2008): 499–504. http://dx.doi.org/10.1134/s1063782608050011.

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41

Getzin, Stephan, Hezi Yizhaq, Bronwyn Bell, et al. "Discovery of fairy circles in Australia supports self-organization theory." Proceedings of the National Academy of Sciences 113, no. 13 (2016): 3551–56. http://dx.doi.org/10.1073/pnas.1522130113.

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Vegetation gap patterns in arid grasslands, such as the “fairy circles” of Namibia, are one of nature’s greatest mysteries and subject to a lively debate on their origin. They are characterized by small-scale hexagonal ordering of circular bare-soil gaps that persists uniformly in the landscape scale to form a homogeneous distribution. Pattern-formation theory predicts that such highly ordered gap patterns should be found also in other water-limited systems across the globe, even if the mechanisms of their formation are different. Here we report that so far unknown fairy circles with the same

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42

Butz, Michael R., J. Matthew Carlson, and Jon Carlson. "Chaos Theory: Self-Organization and Symbolic Representation in Family Systems." Family Journal 6, no. 2 (1998): 106–15. http://dx.doi.org/10.1177/1066480798062005.

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43

Imada, Takatoshi. "Social Theory and Self-Organization: Toward a Sociology of Postmodernism." International Journal of Japanese Sociology 2, no. 1 (1993): 79–93. http://dx.doi.org/10.1111/j.1475-6781.1993.tb00018.x.

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44

Engelen, Guy. "The theory of self-organization and modelling complex urban systems." European Journal of Operational Research 37, no. 1 (1988): 42–57. http://dx.doi.org/10.1016/0377-2217(88)90279-2.

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45

Milagrin Mary Arokiyaswamy C. "A Comprehensive Review of Self-Determination Theory: Exploring Challenges, and Impacts." Power System Technology 48, no. 4 (2024): 6492–99. https://doi.org/10.52783/pst.1456.

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SDT- Self Determination Theory is also known as Human Motivation Theory it provides the theoretical Frame-Work. self determination theory plays vital role in the organization to improve employees motivation and to encourage good or positive output in the organization such as well-Being of the employees, Betterment in Relations of employees, Job Satisfaction, Punctuality, Efficiency,Responsibility and Employee Performance in the Organization and Commitment towards the work. The self determination theory focuses on the important of three basic psychology needs those are Autonomy, Competence and

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46

Bocheng, Zhang, and Wang Qinglian. "Considering the growth of metropolitan areas from the standpoint of self-organization theory." OOO "Zhurnal "Voprosy Istorii" 2023, no. 9-2 (2023): 136–43. http://dx.doi.org/10.31166/voprosyistorii202309statyi56.

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The article introduces self-organization theory into the research level of historical urban development, outlines the development overview and theoretical connotation of self-organization theory, analyzes the self-organization typical characteristics of urban space, and then takes into account the cognitive model of urban space development, which is distilled into the following three points. Finally, it interprets the connotation and essence of urban space development and provides reference and references for related practice and theoretical research.

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47

Malinetsky, Georgy G. "Time of Self-Organization. Scientific Heritage of S. P. Kurdyumov." SCIENCE SPACE 1, no. 2 (2024): 249–73. https://doi.org/10.33873/3034-4379.2024.1-2.249-273.

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The article deals with the activities of the famous Soviet and Russian scientist, specialist in mathematical physics and computational mathematics, mathematical modeling, plasma physics and synergetics, founder of the theory of self-organization, corresponding member of the Russian Academy of Sciences Sergey Pavlovich Kurdyumov (1928—2004). He performed large computational and theoretical works in the field of nuclear power engineering and laser thermonuclear fusion; he created methods for computer modeling of the dynamics of laser thermonuclear targets. С. Kurdyumov made a great contribution

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48

Dautov, Denis F., and Alla K. Belousova. "Purposefulness and spontaneity as properties of self-organization of thinking." Vestnik of Samara State Technical University Psychological and Pedagogical Sciences 19, no. 2 (2022): 73–90. http://dx.doi.org/10.17673/vsgtu-pps.2022.2.6.

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The paper describes thinking as a complex self-organizing system that simultaneously demonstrates such properties as spontaneity and purposefulness. Such an idea of thinking allows us to consider the specific components of thinking involved in its self-organization when processing arrays of information. This is of particular interest for improving tactical and strategic training methods. The main theories of self-organization are described and analyzed. Among the presented theories devoted to the problem of self-organization, special attention is paid to the theory of complex thinking and the

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49

AITKEN, KENNETH J., and COLWYN TREVARTHEN. "Self/other organization in human psychological development." Development and Psychopathology 9, no. 4 (1997): 653–77. http://dx.doi.org/10.1017/s0954579497001387.

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Evidence from the evolution of human cultural behavior and learning, embryology and genetics of the brain, and the behavior of human infants indicates that the critical and uniquely human motives for cooperative imagination and joint interest in objects and tasks are determined by expression of genes and epigenetic neural systems elaboration long before birth, along with essential peripheral organs of perception and motor expression that will serve in communication by rhythmic facial, vocal, gestural, and body movement signals. These cerebral motives continue to exercise their influence on neu

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50

Xu, Huafeng, Sergei Izrailev, and Dimitris K. Agrafiotis. "Conformational Sampling by Self-Organization." Journal of Chemical Information and Computer Sciences 43, no. 4 (2003): 1186–91. http://dx.doi.org/10.1021/ci0340557.

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