Theory Of Self-organization Research Articles

Axial emission characteristics of an ionic liquid electrospray thruster with a circular emitter

Ionic Liquid Electrospray Thrusters (ILETs) are well suited for micro-nano satellite applications due to their small size, low power consumption, and high specific impulse. However, the limited thrust of a single-emitter ILET restricts its use in space missions. To optimize the performance of ILETs and make them suitable for a wider range of space missions, we designed a Circular-emitter ILET (CILET) to convert a one-dimensional (point) emission into a two-dimensional (line) emission. The CILET can self-organize multiple Taylor cones simultaneously. The cones were photographed and the axial emission currents were measured under different voltage and pressure difference conditions with a CILET experimental system. The emission can be divided into two stable states and one unstable state based on the flow and current characteristics. The current in Stable state I increases non-linearly with the voltage, while that in Stable state II is nearly linear with respect to the voltage. The number of cones increases with the voltage in stable states, while the cones become short and crowded under high-voltage conditions. The variation law of the number of cones can be explained with the self-organization theory. The variation in the current exhibits a good correlation with the number of cones. This study demonstrates the feasibility of circular emitters and experimentally indicates that the emission current is improved by approximately two orders of magnitude compared to that of a single capillary.

The role of self-organization theory in the development of students’ interdisciplinary research ability

The role of self-organization theory in the development of students’ interdisciplinary research ability

Evaluation of Problems in Tourism Systems and Their Evolutionary Status Based on Self-Organization Theory

Evaluation of Problems in Tourism Systems and Their Evolutionary Status Based on Self-Organization Theory

Pattern transitions in diary data of MDD patients: a mixed-methods multiple case study of psychotherapy dynamics.

Mixed-methods approaches promise a deep understanding of psychotherapeutic processes. This study uses qualitative and quantitative data from daily diary entries and daily self-assessments during inpatient treatment. The aim of the study is to get an insight into the similarities and differences between both types of data and how they represent self-organized pattern transitions in psychotherapy. While a complete correlation of results is not expected, we anticipate observing amplifying and subsidiary patterns from both perspectives. Daily, five MDD patients wrote diaries and completed self-assessments using the Therapy Process Questionnaire, a questionnaire for monitoring the change dynamics of psychotherapy. The data were collected using the Synergetic Navigation System, an online tool for real-time monitoring. Diary entries of the patients described their experiences in everyday life. The qualitative text analysis was conducted using Mixed Grounded Theory, which provided categories representing the patients' ongoing experiences of transformation and stagnation. The time series data was analyzed using the dynamic complexity algorithm and the pattern transition detection algorithm. Results from qualitative and quantitative analyses were combined and compared. Following the process of data triangulation, the leading perspective came from the theory of self-organization. In addition to presenting the overall results for all five patients, we delve into two specific case examples in greater detail. Specific and highly diversified diary entries of 5 patients were classified into the categories of perceived pattern stability, noticing improvement, broadening the perspective, critical instability, and experiencing moments of Kairos. Patients reported problems not only related to their disorder (e.g., lack of energy and hopelessness) but also to phases and steps of change, which could be related to the theory of self-organization (e.g., problem attractors, critical fluctuations, pattern transitions, and Kairos). Qualitative and quantitative analysis provide important supplementary results without being redundant or identical. Data triangulation allows for a comprehensive and multi-perspective understanding of therapeutic change dynamics. The different topics expressed in the diary entries especially help to follow micro-psychological processes, which are far from being a simple reaction to interventions. The way patients experience themselves being in stability or instability and stagnation or transformation is surprisingly close to the general features of self-organizing processes in complex systems.

Symmetry Breaking of Three Self-Organization Rules: A General Theory for the Origin of Complexity

Complex spatiotemporal patterns in nature significantly challenge reductionism-based modern science. The lack of a paradigm beyond reductionism hinders our understanding of the emergence of complexity. The diversity of countless patterns undermines any notion of universal mechanisms. Here, however, we show that breaking the symmetry of three simple and self-organization rules gives rise to nearly all patterns in nature, such as a wide variety of Turing patterns, fractals, spiral, target and plane waves, as well as chaotic patterns. The symmetry breaking is rooted in the basic physical quantities, such as positive and negative forces, space, time and bounds. Besides reproducing the hallmarks of complexity, we discover some novel phenomena, such as abrupt percolation of Turing patterns, phase transition between fractals and chaos, chaotic edge in traveling waves, etc. Our asymmetric self-organization theory established a simple and unified framework for the origin of complexity in all fields, and unveiled a deep relationship between the first principles of physics and the complex world.

From Mechanization to Ecologization: A Study of Teaching Organization and Management Models Driven by Self-Organization Theory in Chinese Universities

From Mechanization to Ecologization: A Study of Teaching Organization and Management Models Driven by Self-Organization Theory in Chinese Universities

Adaptive design of traditional residential buildings based on digital intelligence system under self-organization theory

Adaptive design of traditional residential buildings based on digital intelligence system under self-organization theory

БІЛІМ БЕРУДЕ СИНЕРГЕТИКАЛЫҚ ТҰҒЫР НЕГІЗІНДЕ ҰЙЫМДАСТЫРУДЫҢ ҒЫЛЫМИ ТЕОРИЯЛЫҚ НЕГІЗДЕРІ

The article shows the role of the principles of the synergetic approach in pedagogical science, analyzes the possibilities of application. Synergetics, or the theory of self-development, is shown as a complex system aimed at finding universal models of personality development that have heuristic significance for pedagogy. In the science of the theory of self-organization of synergetics, the main values and directions are considered. According to the synergetic concepts of pedagogy, synergetics is directly related to the organization in education based on the laws and models of self-organization and self-development of educational systems. The question of introducing synergetic ideas into knowledge in pedagogical theory and practice is becoming more and more relevant, and this is being realized by many researchers studying specific problems of this theory. The results of an independent study are also presented, justified in order to identify the interest of school teachers in acquiring new knowledge and experience.According to the research received, teachers showed interest in innovations, innovations in the field of education, to the fact that they attach importance to the field of science. The article is of great practical importance for the pedagogical society, since it is a field of science that contributes to the professional development of teachers, the rapid and effective achievement of the main goal of planning and organizing the education system.

К вопросу о волновой теории экономической устойчивости

The article attempts to study the elements of the wave theory of the development of the world economy. The author puts forward a concept of the category of economic stability and identification of individual phases of the development of large economic systems. Each phase is described by a deterministic composition of indicators (development factors), for which the areas of their permissible values are set for a certain period of time. The output of the parameters of the state of the economic system beyond the range of acceptable values is a signal for the next “phase transition”. Then the concept of “phase” acquires some meaningful content in the form of the dynamics of the specified values of the estimated parameters. A possible scheme (algorithm) of the “phase transition” in the trajectory of large and complex systems is proposed on the example of the national economy using elements of the theory of self-organization. The self-organization of the economic system is proposed to be considered as a reaction to the change of the “phases of economic stability” in the form of transformation procedures operating at the time of the analysis of the management functions of the national economy into new ways of action of the management system corresponding to the new state of the macro environment. At the same time, the possibility of transformation of the organizational structure of the government of the state is not excluded, i.e. the possibility of, among other things, structural adaptation of the national economy is allowed.

Cultural Development and the Imperatives of a New Reality

At present, cardinal shifts are taking place due to the changing phase of civilization development and a whole complex of global problems faced by mankind. Technology and the emerging challenges require post-industrial development of society, new meanings and values, and the design of the future, while both the management apparatus and the cultural sphere are lagging behind, seeking to use the mechanisms and standards of industrial society.The key to solving these problems is a new paradigm of cultural development. It is based on the triad of ratio – emotio – intuitio: not an opposition, but a deep connection between natural science and humanitarian cultures. Instead of the repetitiveness of investigated phenomena and averages typical of modern science, the emphasis is on paradoxical, unique, surprising entities that change our relationship to the world and our place in it. There is a need for redundancy, originality, paradoxicality, which is more characteristic of art than of science. This path was foreseen by V.I. Vernadsky, the time of his ideas has come.In the article these problems are comprehended from the standpoint of the theory of self-organization or synergetics, as well as general ideas about time. Speaking in the language of Greek myths, to Chronos and Cyclos we should add Kairos, the god of the happy moment and luck, indicating the favorable moment when one should act to achieve success and transformation.

Assessment and Prediction of the Collaborative Governance of the Water Resources, Water Conservancy Facilities, and Socio-Economic System in the Xiangjiang River Basin, China

The collaborative governance of subsystems within a river basin can play a critical role in addressing challenges, such as water scarcity, soil erosion, flooding, sedimentation, and water pollution, to achieve sustainable utilization of water resources. However, the current literature only focuses on isolated observations of these subsystems, leading to uncertainty and water resource destruction. This paper examines the evolution of the collaborative governance of water resources, water conservancy facilities, and socio-economic systems through self-organization theory in the Xiangjiang River Basin, China. The coupling theory and gray Grey Model (1,1) model were utilized with panel data from 2000 to 2019 to assess and predict the governance synergies of five subsystems: natural water, water conservancy facilities, water resource development and utilization, ecological environment, and socio-economic systems. There are 22 indicators contributing to these subsystems that were selected. The results indicate an S-shaped trend in collaborative governance for water resources, water conservancy facilities, and socio-economic systems. The elements of each subsystem exhibit both synergistic and competitive relationships. The unpredictable precipitation triggers a butterfly effect, changing systemic governance coordination, which closely relates to developing the natural water subsystem. Effective water conservation and regulation of water conservancy facilities are the keys to improving water-use efficiency and safeguarding water ecology. This study provides insights into the collaborative governance among subsystems and the evolution of the water resources, water conservancy facilities, and socio-economic systems in the Xiangjiang River Basin to promote sustainable water resource utilization.

Synergetic paradigm of the global world

All sociological paradigms are based on the existing picture of the world, which determines them through cognitive models. Thus, the Darwinian evolutionism and dialectical materialism that developed in the last century were mainly based on four cognitive models: scholastic (nature and society as texts), mechanistic (nature and society as machines), statistical (nature and society as balances of average values) and systemic (nature and society as organisms). Contemporary sociological paradigms - of social facts, social behavior, social definitions and determinism - are also based on these cognitive models; however, today social processes go beyond these cognitive models, and there is a growing interest in an interdisciplinary approach called ‘synergetics’ (1). The synergetic approach uses such concepts as ‘order’, ‘chaos’, ‘nonlinearity’, ‘uncertainty’, ‘instability’, ‘dissipative structures’, ‘bifurcation’, ‘attractor’ and etc. Synergetics studies the general laws of self-organization, stability and destruction of ordered structures in complex systems of various nature; it is a theory of self-organization and development of open systems of any origin [6]. The synergetic style of scientific thinking presupposes a probabilistic vision of the world, which developed in the 19th century. Synergetics contributes to the formation of a new type of scientific thinking - post-non-classical, to the inclusion of humanistic and axiological parameters in scientific research and to the development of non-linear thinking, proving the inadequacy of the model of consistent and gradual cumulative development. The new sociological paradigm should accept the idea of synergetics about the interconnectedness of epistemology and ontology, i.e. the idea that the cognitive activity of the subject changes reality: the very choice of the object, conceptual scheme, methods and the use of the results obtained forms, changes and destroys the ontological basis; therefore, the researcher is responsible for the world that he creates and reforms.

Self-organization for community resilience in an invisible agricultural community

This study investigates how self-organizing efforts by residents of informal settlements, primarily migrant and informal farmworkers, shape community resilience in Majes, a water-scarce irrigation district in the Atacama Desert of Peru. We collected 45 semi-structured interviews with residents and authorities in Majes and analyzed findings through a framework of self-organizing. Analyses revealed that self-organizing by residents of informal settlements incorporated the three components of White’s theory of Community Agency and Community Resilience, which contends that marginalized communities increase resilience by fostering a commons praxis, practicing a prefigurative politics, and developing opportunities for economic autonomy. We also found that residents self-organized into associations to increase access to resources, resulting in increased resilience. However, certain fees, corruption, and undemocratic decision-making processes can be detrimental to self-organizing. Results expand existing theories of self-organization and community resilience by highlighting how residents of informal settlements in agricultural spaces collectively organize to increase their resilience. Findings also begin to reframe narratives that describe migrants and farmworkers as powerless in the face of water scarcity, climate change, and other social-ecological risks.

Analysis of the 21st century world community system global crisis from the perspective of the systems and self-organization theories

The article identifies and analyzes main determinants of the 21st century world community system global crisis from the perspective of the systems and self-organization theories. The study analyzes specifics of the world community as a complex social dissipative system functioning and development. Main determinants of the world community modern system entry into the bifurcation zone have been identified and analyzed. A comparative analysis of expert forecasts of trends in the 21st century world community system development, presented in the works of V.I. Vernadsky, N.N. Moiseev, S. Huntington, D.L. Meadows, M. Wackernagel, T. Malthus and neo-Malthusians, and United Nations experts, has been carried out. As a result of the study, the conclusions about possible scenarios for developing the 21st century world community system in the bifurcation zone have been formulated.

Catalyst for co-construction: the role of AI-directed speech recognition technology in the self-organization of knowledge

The purpose of this study was to analyze knowledge co-construction as a self-organization process and the role of technology as its catalyst. Novel AI-directed speech recognition technology and the artifacts it generates were deployed to scaffold the knowledge co-construction process in two groups of pre-service teachers in a science education context. Throughout the lesson, the focus of the learning tasks was on pedagogical content knowledge and students' preconceptions. Analysis was conducted through the key characteristics of the social system's self-organization theory. The process of self-organization refers to the system's capacity to diverge from familiar structures, perspectives, and operations. Through the lenses of system theories, the active role of artifacts in co-construction was grasped and the role of technology in the self-organization of knowledge was analyzed. The pedagogical design of knowledge co-construction followed the principles of student-engaging learning. The technology used in co-construction was novel speech recognition AI software, which produced visual and editable word cloud artifacts from oral discussions on the large-format screen to edit. The data included videos and audio recordings. In this qualitative study, a content analysis and interaction analysis were used with descriptive analysis. The results showed that when technology became visible, as an active component of the system, artifacts triggered key signs of the social system's self-organization in co-construction. Exchange of information, “entropy levels,” were rapidly increased, and different viewpoints were expressed. Also, “chaos zones,” far-from-equilibrium states, were reached in both groups. Editable artifacts on the screen represented bifurcation spaces where groups' discussions were crystallized for the first time. Information was further categorized and evaluated through artifacts and this demonstrated how the groups processed communication into learning insights. Based on the results, the role played by this kind of technology was significant in the self-organization of knowledge. Materialized artifacts pushed the groups from small group conversation phases, comfort zones, toward uncertainty and confusion, which are central in self-organization. Technology in the system is seen not only as an interactor but also as an active agent that can facilitate epistemic emotions and support the group in the self-organization of knowledge.

Rassuzhdeniya o prostranstvennom razvitii gorodov v svete teorii samoorganizacii

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.

Циклическое развитие проектно-технологической культуры: проблемы методологии

The article analyzes approaches to understanding the essence of technological culture and the patterns of its development from the methodological positions of the design culture and the theory of selforganization. The phenomenon of technological culture is studied in the unity of the conceptual, praxeological and organizational aspects. The process of formation and development of technological culture is cyclical. Cyclicity is appearing in the periodic reiteration of the stages of cultural reproduction and cultural variability. The study gives a description of the three-phase structure of the cultural cycle, taking into account the role of self-organization processes at each formative stage. At the first formative stage the specificity of the self-organization mechanism is reduced to the formation of rigid links (structures) that measure and fasten images, signs and objects that are useful for the cultural formation. At the second stage a fundamental livelihood of the developing object as a whole is created. Usually this is a fundamental principle that sets coherence, synchronization of processes in a sociocultural system. At the third stage the processes of self-organization provide a livelihood for the components of the object which leads to the achievement of morphological and axiological integrity and uniqueness of the object, the system enters into symbiotic relationships with objects of another type, completes development and prepares the transition to a new three-part cycle of shaping. The article deals with the first historical cycle of formation and development of technological culture: "Hellenism – Ancient Rome – Byzantium". Each phase of the cultural cycle is characterized by the originality of subject, target and organizational factors. In future the undertaken research will reveal the features of technological culture on its modern "digital" stage basing on the logic of cyclic patterns developed within the framework of the proposed methodology.

Development of the concept of simulation modeling of the ecological situation based on the theory of self-organization

The article is devoted to the development of a concept of simulation of the environmental situation based on the theory of self-organization. The trend of increasing temperature and sea level due to an increase in the level of greenhouse gases in the Earth’s atmosphere is global. This indicates the need to predict the development of the environmental situation in order to inform the population about possible disasters for preparing people's responses, resettlement planning, psychological adaptation. To predict the environmental situation as a result of accidents and disasters, including in rail transport, an analysis apparatus for possible situations is proposed with the aim of developing recommendations for their prevention. An environmental simulation model based on the theory of self-organization was chosen as the apparatus of research. It is based on the processes of mutually agreed relations, as a result of changes in two species of wildlife (object and environment), leading to the formation of a certain orderliness of these relations. Interaction of this kind occurs in the direction of achieving the existing equilibrium state or the formation of a new balance.

Romantic Transfer from Thermodynamic Theories to Personal Theories of Social Control: A Randomised Controlled Experiment

The transfer of learning is arguably the most enduring goal of education. The history of science reveals that although numerous theories have been transferred from the natural sciences to the socio-political realm, educational practitioners have often deemed such transfers romantic and rhetorical. We conducted an experiment that randomly assigned a sample of 292 college freshmen in China to two groups to learn different thermodynamic theories: entropy or self-organization theory. We examined whether the two groups may arrive at different implications about social (and government) control without explicit instructions. We found that participants who learned the theory of entropy were more likely to believe the social system would become chaotic over time without external control; thus, they preferred tightened social control. Whereas participants who learned self-organisation theory were more likely to believe that order may form from within a social system; therefore, they downplay external control and prefer stronger individual agency. Follow-up interviews showed that the participants’ narratives about social control were largely consistent with the thermodynamic concepts they had learned. Our findings have critical implications for the recent trend in STEM education that promotes the teaching of cross-cutting concepts—seeking patterns from interdisciplinary ideas—that may implicitly prime students to borrow physical science theories to formulate personal social hypotheses and engage in moral–civic–political discourse.

Methodology of nonlinearity in the research of the phenomenon of the innovation space of higher school expansion

The article relates to the formation of a methodology of nonlinearity for nonlinear cognition of the spatial expansion of higher education in the innovation sphere, which manifests itself as the implementation of its innovative activities and the spread of innovations not only inside, but also outside its own national states. This trend of embedding higher education in the global innovation process has a stable and long-lasting character, due to its all-round innovatization and globalization.The article offers a rationale of the relevance and presentation of the methodology of nonlinearity as the most effective tool for understanding the expansion of the innovation space of higher education and its integration into the worldwide innovation process. The proposed methodology of nonlinear research is opposed to the so-called linear logic, a linear method often used in economics that considers objects and phenomena with predictable behavior and is not able to give a complete picture of the development of open nonequilibrium systems. The methodology of nonlinearity includes the principles of the theory of systems self-organization and the theory of evolutionary economics. It allows combining both stationary and dynamic components of the nonlinear process under study in one model, revealing the nature of changes in both spatial and temporal properties accompanying the modification of higher education integrated into the global innovation space.The study’s results are presented as the parameters of the nonlinearity of the university innovation space expansion. Theirs disclosed using a nonlinear methodology. There are: the openness of higher education to the import-export of information, energy and material flows; the state of instability, disequilibrium under the influence of external and internal factors; updating the structure through self-organization, leading to the replacement of obsolete parts of the system with new ones; the ability to make qualitative leaps, once at the bifurcation points.The article offers a rationale of the relevance and presentation of the methodology of nonlinearity as the most effective tool for understanding the expansion of the innovation space of higher education and its integration into the worldwide innovation process. The proposed methodology of nonlinear research is opposed to the so-called linear logic, a linear method often used in economics that considers objects and phenomena with predictable behavior and is not able to give a complete picture of the development of open nonequilibrium systems.The methodology of nonlinearity includes the principles of the theory of systems self-organization and the theory of evolutionary economics. It allows combining both stationary and dynamic components of the nonlinear process under study in one model, revealing the nature of changes in both spatial and temporal properties accompanying the modification of higher education integrated into the global innovation space.The study’s results are presented as the parameters of the nonlinearity of the university innovation space expansion. Theirs disclosed using a nonlinear methodology. There are: the openness of higher education to the import-export of information, energy and material flows; the state of instability, disequilibrium under the influence of external and internal factors; updating the structure through self-organization, leading to the replacement of obsolete parts of the system with new ones; the ability to make qualitative leaps, once at the bifurcation points.