Relevant bibliographies by topics / Complex Dynamic Systems Theory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Complex Dynamic Systems Theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Complex Dynamic Systems Theory"

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Rychtáriková, Renata, Jan Urban, and Dalibor Štys. "ŽAMPA’S SYSTEMS THEORY: A COMPREHENSIVE THEORY OF MEASUREMENT IN DYNAMIC SYSTEMS." Acta Polytechnica 58, no. 2 (April 30, 2018): 128. http://dx.doi.org/10.14311/ap.2018.58.0128.

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The article outlines in memoriam Prof. Pavel Žampa’s concepts of system theory which enable us to devise a measurement in dynamic systems independently of the particular system behaviour. From the point of view of Žampa’s theory, terms like system time, system attributes, system link, system element, input, output, sub-systems, and state variables are defined. In Conclusions, Žampa’s theory is discussed together with another mathematical approaches of qualitative dynamics known since the 19th century. In Appendices, we present applications of Žampa’s technical approach to measurement of complex dynamical (chemical and biological) systems at the Institute of Complex Systems, University of South Bohemia in České Budějovice.
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Stotz, Quinton, and Walcir Cardoso. "Applying Complex Dynamic Systems Theory to Identify Dynamic Properties of Plurilingual Repertoires." TESL Canada Journal 38, no. 2 (March 10, 2022): 140–70. http://dx.doi.org/10.18806/tesl.v38i2.1360.

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Language repertoires have been traditionally construed as a set of chronologically determined compartments (first language, second language, etc.), a scheme which upholds several validity and ethical issues when operationalized in research and education (Ortega, 2019). Complex dynamic systems theory (also complexity theory, here CDST) has been hailed as one solution moving forward, but its applicability to plurilingual settings requires further testing. This exploratory study contributes by examining whether inherent properties of complex dynamic systems manifest in the perceptions that plurilinguals have as their language systems change over time. Using retrodictive qualitative modelling (Dörnyei, 2014), this study discerned the developmental trajectory of changing language systems by working backwards through data collected during an observation window. Over a 3-month period, three plurilingual individuals assessed their language systems through weekly surveys and participated in open-ended interviews. A three-stage phenomenological analysis evaluated the data against CDST’s theoretical prism to identify five CDST properties (attractor states, phase shifts, co-adaptation, self-organization, and emergence) in the participants’ perceptions of their changing repertoires. Results indicate that plurilingual repertoires exhibit the aforementioned dynamics, although evidence for emergence was less certain. Importantly, this study shows that CDST dynamics are discernible in an individual’s perception of their language development over time. Les répertoires langagiers se comprennent traditionnellement comme un ensemble de compartiments déterminés chronologiquement (première langue, deuxième langue, etc.), un mécanisme qui maintient plusieurs problèmes de validité et d’éthique quand il est opérationnalisé dans la recherche et l’enseignement (Ortega, 2019). La théorie des systèmes dynamiques complexes (également appelée théorie de la complexité, ici TSDC) a été acclamée comme une solution pour avancer, mais son applicabilité à des contextes plurilingues devra être testée davantage. L’étude exploratoire suivante apporte sa contribution en examinant le fait de savoir si les propriétés inhérentes aux systèmes dynamiques complexes se manifestent dans les perceptions que les plurilingues ont de leurs systèmes au fur et à mesure que leurs systèmes de langue changent avec le temps. En se servant de la modélisation de la rétrodiction qualitative (Dörnyei, 2014), cette étude discerne la trajectoire de développement de systèmes langagiers changeants en travaillant à l’envers par le biais de données recueillies pendant une fenêtre d’observation. Pendant une période de trois mois, trois personnes plurilingues ont évalué leurs systèmes langagiers au moyen de sondages hebdomadaires et ont participé à des entrevues ouvertes. Une analyse phénoménologique en trois étapes a évalué les données par rapport au prisme théorique de la TSDC afin d’identifier cinq propriétés de la TSDC (l’état d’attractivité, les changements de phases, la co-adaptation, l’auto-organisation et l’émergence) dans la perception que les participants avaient de leurs répertoires changeants. Les résultats indiquent que les répertoires plurilingues démontrent les dynamiques susmentionnées, bien que les preuves de l’émergence soient moins certaines. De façon importante, cette étude montre que les dynamiques de la TSDC sont discernables dans la perception que chaque personne se fait du développement de leur langue avec le temps.
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Groumpos, Peter. "Why Modeling Complex Dynamic Systems using Fuzzy Cognitive Maps?" Spring 2017 5, no. 2 (May 1, 2017): 1–7. http://dx.doi.org/10.33107/ijbte.2017.5.2.05.

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The difficult problem of modeling Complex Dynamic Systems (CDS) is carefully reviewed. Main characteristics of CDS are considered and analyzed. Today’s mathematical models and approaches cannot provide satisfactory answers to the challenging problems of the society. The key problem of complex dynamic systems and control theory consists in the development of methods of qualitative analysis of the dynamics and behavior of such systems and in the construction of efficient control algorithms for their efficient operation. The purpose of control to bring the system to a point of its phase space which corresponds to maximal or minimal value of the chosen efficiency criterion is reviewed and analyzed. The reasons for using Fuzzy Cognitive Maps (FCMs) in modeling Complex dynamic Systems are provided. The basics of FCMs are briefly presented. An illustrative example is considered and interesting results are presented and discussed.
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Xue, Jie, Xiyu Liu, Wenxing Sun, and Shuo Yan. "Discrete Morse Theory Based Dynamic P Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 1 (January 20, 2018): 104–12. http://dx.doi.org/10.20965/jaciii.2018.p0104.

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This paper proposes a class of dynamic P systems with constraint of discrete Morse function (DMDP systems). Membrane structure is extended on complex. Rules control activities of membranes. New classes of rules and mechanism to change types of rules by discrete gradient vector field are provided as well.DMDP system extends P systems both in structures and rules. Solving air quality evaluation problem in linear time verifies the effectiveness ofDMDP systems. Since air quality evaluation problem has significance in many areas. The new P systems provide an alternative for traditional membrane computing.
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LARSEN-FREEMAN, DIANE. "On Language Learner Agency: A Complex Dynamic Systems Theory Perspective." Modern Language Journal 103 (January 2019): 61–79. http://dx.doi.org/10.1111/modl.12536.

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Gignoux, Jacques, Guillaume Chérel, Ian D. Davies, Shayne R. Flint, and Eric Lateltin. "Emergence and complex systems: The contribution of dynamic graph theory." Ecological Complexity 31 (September 2017): 34–49. http://dx.doi.org/10.1016/j.ecocom.2017.02.006.

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Sergienko, O. A., M. A. Mashchenko, and V. V. Baranova. "Modeling the Instability of Development of Complex Hierarchical Systems." PROBLEMS OF ECONOMY 1, no. 47 (2021): 143–54. http://dx.doi.org/10.32983/2222-0712-2021-1-143-154.

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The article suggests using modern instruments of dynamic analysis, i.e. the theories of phase, cointegration, and bifurcation analysis and the catastrophe theory to improve the methodology to study the dynamic pattern of the development indices of complex hierarchical systems (CHS) and their relationship. The article elaborates the main directions for creating research models, which would describe the interaction between the development indices of CHS, grounded on estimating and analyzing pre-crisis, crisis and post-crisis phenomena in hierarchical social and economic territorial systems. A conceptual framework algorithm is designed to model the dynamic pattern of the CHS development using modern economic and mathematical instruments to study the dynamics of time-series data and assess the relationship of CHS indices. Complex models have been implemented to monitor the key CHS development indices based on the phase and cointegration analysis of the relationship between the following processes: investment and GDP; GDP and industrial production dynamics; GDP dynamics and import volumes dynamics; wages dynamics and industrial production dynamics; migration and natural population growth. As part of the implementation of a comprehensive model for monitoring key indices of CHS development based on bifurcation analysis and the catastrophe theory, the supercritical Hopf bifurcation is built in the relationship model of imports and GDP; surfaces of the functions of Kaldor’s model and a three-dimensional Kaldor’s model are constructed. The suggested complex toolkit for research models of the CHS development instability gives us the opportunity to draw conclusions about the reasons and factors of the occurrence of endogenous (self-generating) fluctuations and bifurcations; about the probability of catastrophes and crises arising in complex hierarchical economic systems. The solution of problems caused by the CHS development instability on the basis of complex application of phase, cointegration and bifurcation analysis will allow us to predict crisis situations in advance and to offer methods of their prevention, to find complex ways out of crisis situations.
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Larsen-Freeman, Diane. "Classroom-oriented research from a complex systems perspective." Studies in Second Language Learning and Teaching 6, no. 3 (September 29, 2016): 377–93. http://dx.doi.org/10.14746/ssllt.2016.6.3.2.

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Bringing a complex systems perspective to bear on classroom-oriented research challenges researchers to think differently, seeing the classroom ecology as one dynamic system nested in a hierarchy of such systems at different levels of scale, all of which are spatially and temporally situated. This article begins with an introduction to complex dynamic systems theory, in which challenges to traditional ways of conducting classroom research are interwoven. It concludes with suggestions for research methods that are more consistent with the theory. Research does not become easier when approached from a complex systems perspective, but it has the virtue of reflecting the way the world works.
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Bahari, Akbar. "NONLINEAR DYNAMIC MOTIVATION-ORIENTED TAXONOMY OF L2 STRATEGIES BASED ON COMPLEX DYNAMICS SYSTEMS THEORY." Journal of Language and Literature 19, no. 1 (April 1, 2019): 9–29. http://dx.doi.org/10.24071/joll.2019.1901002.

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Larsen-Freeman, Diane. "Complex, dynamic systems: A new transdisciplinary theme for applied linguistics?" Language Teaching 45, no. 2 (March 30, 2011): 202–14. http://dx.doi.org/10.1017/s0261444811000061.

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In this plenary address, I suggest that Complexity Theory has the potential to contribute a transdisciplinary theme to applied linguistics. Transdisciplinary themes supersede disciplines and spur new kinds of creative activity (Halliday 2001 [1990]). Investigating complex systems requires researchers to pay attention to system dynamics. Since applied linguists study language systems that change (for example, as they develop in learners, this is a useful perspective to bring to bear on many of our concerns. To introduce Complexity Theory, I list twelve principles undergirding this perspective and elaborate on three of them: those to do with dynamism, complexity, and the role of context. I then discuss several studies of L2 development that have been informed by the perspective. I conclude by suggesting that the ultimate promise of Complexity Theory is the help it provides in humanizing science.
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Dissertations / Theses on the topic "Complex Dynamic Systems Theory"

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Beach, Joni Leigh. "A Grounded Theory Study of Systems Theory and Clothing and Textiles Theories for the Development of a Dynamic, Complex Human Systems Theory." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/29373.

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Metatheory, a study of theories, was the focus of this research study. A qualitative, grounded theory research design was used to examine documents on systems theory found outside the field of Clothing and Textiles (CT) and the social psychological theories used within CT. Recognizing the dynamic, complex nature of the human system and its interaction with multiple other systems led to the question of: What multidimensional theoretical framework would address this complexity and provide an expanded view for research and education in the field of CT? Data were collected from documentary materials pertaining to systems theory and CT theories by the researcher in a library search of the literature. Four domains were identified from the data that were collected and analyzed. The domains were Relationship, Process, Organization, and Outcomes. Then, a holistic, systemic theoretical framework and the Human-Environment Systems model were developed from the integration of systems theory and the CT theories. The model was designed to give a general, abstract visual representation of the theoretical concepts of a holistic, systemic view of the human-environment unit. A discussion of the complex societal issue of body image and eating disorders in females served to illustrate the use of the proposed theoretical framework and model. Recommendations were made for future exploration of the use of a holistic perspective for research and educational practices in the field of CT in order to address dynamic, complex human-environment problems.
Ph. D.
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Chetty, Vasu Nephi. "Theory and Applications of Network Structure of Complex Dynamical Systems." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6270.

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One of the most powerful properties of mathematical systems theory is the fact that interconnecting systems yields composites that are themselves systems. This property allows for the engineering of complex systems by aggregating simpler systems into intricate patterns. We call these interconnection patterns the "structure" of the system. Similarly, this property also enables the understanding of complex systems by decomposing them into simpler parts. We likewise call the relationship between these parts the "structure" of the system. At first glance, these may appear to represent identical views of structure of a system. However, further investigation invites the question: are these two notions of structure of a system the same? This dissertation answers this question by developing a theory of dynamical structure. The work begins be distinguishing notions of structure from their associated mathematical representations, or models, of a system. Focusing on linear time invariant (LTI) systems, the key technical contributions begin by extending the definition of the dynamical structure function to all LTI systems and proving essential invariance properties as well as extending necessary and sufficient conditions for the reconstruction of the dynamical structure function from data. Given these extensions, we then develop a framework for analyzing the structures associated with different representations of the same system and use this framework to show that interconnection (or subsystem) structures are not necessarily the same as decomposition (or signal) structures. We also show necessary and sufficient conditions for the reconstruction of the interconnection (or subsystem) structure for a class of systems. In addition to theoretical contributions, this work also makes key contributions to specific applications. In particular, network reconstruction algorithms are developed that extend the applicability of existing methods to general LTI systems while improving the computational complexity. Also, a passive reconstruction method was developed that enables reconstruction without actively probing the system. Finally, the structural theory developed here is used to analyze the vulnerability of a system to simultaneous attacks (coordinated or uncoordinated), enabling a novel approach to the security of cyber-physical-human systems.
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Davis, Jacqueline Topsy Mengersen. "The role of culture in children's sex-typed preferences for colours, toys, and affordances : a systems theory approach." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289913.

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Children's sex-typed preferences for colours and toys are well-established, and often function as markers of sex-typicality in research on the development of sex-typed behaviour. However, children's sex-typed colour and toy preferences have not been tested cross-culturally, or in remote unindustrialised cultural settings. The present thesis tested children's preferences for sex-typed toys in four cultural settings: Shipibo villages in the Lake Imiria region of the Peruvian Amazon; kastom villages in the mountains of Tanna Island in Vanuatu in the South Pacific; children attending school in Lenakel town on Tanna Island; and in a large industrialised city in Australia. It also tested children's colour preferences in three of these cultures. It was hypothesised that colour and toy preferences would show some similarities across cultures, and further, that similarities in toy preferences across cultures would be explained by the different types of play afforded by the toys. Results suggested that colour preferences, specifically, a sex difference in preference for pink, are specific to industrialised cultures. Results further suggested that some sex differences in toy preferences replicate in different cultures, and that the relationship between toy preferences and children's preferences for play affordances is a potentially important area for further research. The present thesis also provided two demonstrations of how new statistical methods, adapted from complex and dynamic systems theory, could be applied to the cross-cultural dataset. A machine learning method suggested that sex, more than culture, affects children's sex-typed toy preferences. A multistate dynamic method further suggested that sex, more than culture, affects the dynamics of children's toy choices.
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Krishan, Kapilanjan. "Characterizations of spatio-temporal complex systems." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-05162005-071906/.

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Thesis (Ph. D.)--Physics, Georgia Institute of Technology, 2006.
Schatz, Michael, Committee Chair ; Cvitanovic, Predrag, Committee Member ; Uzer, Turgay, Committee Member ; Grigoriev, Roman, Committee Member ; Mischaikow, Konstantin, Committee Member.
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Siddique, Shahnewaz. "Failure mechanisms of complex systems." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51831.

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Understanding the behavior of complex, large-scale, interconnected systems in a rigorous and structured manner is one of the most pressing scientific and technological challenges of current times. These systems include, among many others, transportation and communications systems, smart grids and power grids, financial markets etc. Failures of these systems have potentially enormous social, environmental and financial costs. In this work, we investigate the failure mechanisms of load-sharing complex systems. The systems are composed of multiple nodes or components whose failures are determined based on the interaction of their respective strengths and loads (or capacity and demand respectively) as well as the ability of a component to share its load with its neighbors when needed. Each component possesses a specific strength (capacity) and can be in one of three states: failed, damaged or functioning normally. The states are determined based on the load (demand) on the component. We focus on two distinct mechanisms to model the interaction between components strengths and loads. The first, a Loss of Strength (LOS) model and the second, a Customer Service (CS) model. We implement both models on lattice and scale-free graph network topologies. The failure mechanisms of these two models demonstrate temporal scaling phenomena, phase transitions and multiple distinct failure modes excited by extremal dynamics. We find that the resiliency of these models is sensitive to the underlying network topology. For critical ranges of parameters the models demonstrate power law and exponential failure patterns. We find that the failure mechanisms of these models have parallels to failure mechanisms of critical infrastructure systems such as congestion in transportation networks, cascading failure in electrical power grids, creep-rupture in composite structures, and draw-downs in financial markets. Based on the different variants of failure, strategies for mitigating and postponing failure in these critical infrastructure systems can be formulated.
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Glazier, Paul S. "Applications of dynamical systems theory and 'complex' analyses to cricket fast bowling." Thesis, Sheffield Hallam University, 2011. http://shura.shu.ac.uk/20686/.

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The aims of this thesis were to: (i) increase understanding of the biomechanical and motor control processes that underpin proficient fast bowling performance using dynamical systems theory and 'complex' analyses; and (ii) demonstrate the application of dynamical systems theory and the utility of 'complex' analyses to performance-oriented sports biomechanics research using cricket fast bowling as a representative task vehicle. Prior to analysing within- and between-bowler differences in coordination patterns at different levels of analysis and their relationship to ball release speed, the suitability of manual coordinate digitising for analysing intra- and inter-individual variability was examined. Both the reliability of time-discrete and time-continuous kinematic variables was considered. Of the 33 time-discrete kinematic variables examined, 31 exhibited between-participant variances and re-digitisation variances that accounted for the largest and smallest portions of total variance, respectively. Furthermore, re-digitisation variance accounted for less than 5% of total variance in 29 of these variables with 15 of these exhibiting less than 1%. For the 45 time-continuous kinematic variables, measurement error accounted for 17.2% of movement variability (range 4.3-41.0%). When considered together, these results indicated that manual coordinate digitising was sufficiently sensitive to reliably measure differences in technique within and between bowlers. Kohonen Self-Organising Maps (SOMs) were used to analyse coordination patterns in cricket fast bowling at a global whole-body level of analysis. Qualitative differences in SOM trajectories between bowlers signified participant-specific coordination patterns, which were attributed to differences in organismic constraints and intrinsic dynamics. A theoretical argument against the common optimal movement pattern concept was constructed and the utility of SOMs was evaluated. Several issues currently limiting their practical application, including the difficulty in linking the SOM trajectory to aspects of technique and the inability of biomechanists to identify optimal sports techniques, were highlighted. A combination of 'complex' analytical techniques was then applied to quantify intersegmental coordination among key limb and torso segments. Cross-correlation functions showed that moderate (0.5+) to very strong (0.9+) coupling relationships existed for the four segment couplings (NBA vs. FL, BA vs. NBA, BA vs. FL, UT vs.P) with the majority of these moving in synchrony. Statistically significant mean differences in both cross-correlation coefficients and average coupling angle for the four segment couplings throughout (0-100%), and during different phases (0-24%, 25-49%, 50-74%, 75-99%) of, the delivery stride provided further evidence of participant-specific coordination patterns. However, no associations between coupling relationships and ball release speed could be identified either within or between bowlers. This study further highlighted the difficulties in making associations between technique and outcomes.It was concluded that, based on the reported research findings, dynamical systems theory and its associated 'complex' analyses could make a substantive contribution to the enhancement of knowledge of cricket fast bowling techniques and also advance applied sports biomechanics research more generally. Further investigations into cricket fast bowling performance, focusing on the link between technique and outcomes using a combination of kinetic, energetic and coordination analyses, were identified as a research priority.
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Zhang, Daili. "Multi-agent based control of large-scale complex systems employing distributed dynamic inference engine." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33963.

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Increasing societal demand for automation has led to considerable efforts to control large-scale complex systems, especially in the area of autonomous intelligent control methods. The control system of a large-scale complex system needs to satisfy four system level requirements: robustness, flexibility, reusability, and scalability. Corresponding to the four system level requirements, there arise four major challenges. First, it is difficult to get accurate and complete information. Second, the system may be physically highly distributed. Third, the system evolves very quickly. Fourth, emergent global behaviors of the system can be caused by small disturbances at the component level. The Multi-Agent Based Control (MABC) method as an implementation of distributed intelligent control has been the focus of research since the 1970s, in an effort to solve the above-mentioned problems in controlling large-scale complex systems. However, to the author's best knowledge, all MABC systems for large-scale complex systems with significant uncertainties are problem-specific and thus difficult to extend to other domains or larger systems. This situation is partly due to the control architecture of multiple agents being determined by agent to agent coupling and interaction mechanisms. Therefore, the research objective of this dissertation is to develop a comprehensive, generalized framework for the control system design of general large-scale complex systems with significant uncertainties, with the focus on distributed control architecture design and distributed inference engine design. A Hybrid Multi-Agent Based Control (HyMABC) architecture is proposed by combining hierarchical control architecture and module control architecture with logical replication rings. First, it decomposes a complex system hierarchically; second, it combines the components in the same level as a module, and then designs common interfaces for all of the components in the same module; third, replications are made for critical agents and are organized into logical rings. This architecture maintains clear guidelines for complexity decomposition and also increases the robustness of the whole system. Multiple Sectioned Dynamic Bayesian Networks (MSDBNs) as a distributed dynamic probabilistic inference engine, can be embedded into the control architecture to handle uncertainties of general large-scale complex systems. MSDBNs decomposes a large knowledge-based system into many agents. Each agent holds its partial perspective of a large problem domain by representing its knowledge as a Dynamic Bayesian Network (DBN). Each agent accesses local evidence from its corresponding local sensors and communicates with other agents through finite message passing. If the distributed agents can be organized into a tree structure, satisfying the running intersection property and d-sep set requirements, globally consistent inferences are achievable in a distributed way. By using different frequencies for local DBN agent belief updating and global system belief updating, it balances the communication cost with the global consistency of inferences. In this dissertation, a fully factorized Boyen-Koller (BK) approximation algorithm is used for local DBN agent belief updating, and the static Junction Forest Linkage Tree (JFLT) algorithm is used for global system belief updating. MSDBNs assume a static structure and a stable communication network for the whole system. However, for a real system, sub-Bayesian networks as nodes could be lost, and the communication network could be shut down due to partial damage in the system. Therefore, on-line and automatic MSDBNs structure formation is necessary for making robust state estimations and increasing survivability of the whole system. A Distributed Spanning Tree Optimization (DSTO) algorithm, a Distributed D-Sep Set Satisfaction (DDSSS) algorithm, and a Distributed Running Intersection Satisfaction (DRIS) algorithm are proposed in this dissertation. Combining these three distributed algorithms and a Distributed Belief Propagation (DBP) algorithm in MSDBNs makes state estimations robust to partial damage in the whole system. Combining the distributed control architecture design and the distributed inference engine design leads to a process of control system design for a general large-scale complex system. As applications of the proposed methodology, the control system design of a simplified ship chilled water system and a notional ship chilled water system have been demonstrated step by step. Simulation results not only show that the proposed methodology gives a clear guideline for control system design for general large-scale complex systems with dynamic and uncertain environment, but also indicate that the combination of MSDBNs and HyMABC can provide excellent performance for controlling general large-scale complex systems.
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Penkovsky, Bogdan. "Theory and modeling of complex nonlinear delay dynamics applied to neuromorphic computing." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCD059/document.

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Cette thèse développe une nouvelle approche pour la conception d'un reservoir computer, l'un des défis de la science et de la technologie modernes. La thèse se compose de deux parties, toutes deux s'appuyant sur l'analogie entre les systèmes optoelectroniques à retard et les dynamiques spatio-temporelles non linéaires. Dans la première partie (Chapitres 1 et 2) cette analogie est utilisée dans une perspective fondamentale afin d'étudier les formes auto-organisées connues sous le nom d'états Chimère, mis en évidence une première fois comme une conséquence de ces travaux. Dans la deuxième partie (Chapitres 3 et 4) la même analogie est exploitée dans une perspective appliquée afin de concevoir et mettre en oeuvre un concept de traitement de l'information inspiré par le cerveau: un réservoir computer fonctionnant en temps réel est construit dans une puce FPGA, grâce à la mise en oeuvre d'une dynamique à retard et de ses couches d'entrée et de sortie, pour obtenir un système traitement d'information autonome intelligent
The thesis develops a novel approach to design of a reservoir computer, one of the challenges of modern Science and Technology. It consists of two parts, both connected by the correspondence between optoelectronic delayed-feedback systems and spatio-temporal nonlinear dynamics. In the first part (Chapters 1 and 2), this correspondence is used in a fundamental perspective, studying self-organized patterns known as chimera states, discovered for the first time in purely temporal systems. Study of chimera states may shed light on mechanisms occurring in many structurally similar high-dimensional systems such as neural systems or power grids. In the second part (Chapters 3 and 4), the same spatio-temporal analogy is exploited from an applied perspective, designing and implementing a brain-inspired information processing device: a real-time digital reservoir computer is constructed in FPGA hardware. The implementation utilizes delay dynamics and realizes input as well as output layers for an autonomous cognitive computing system
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Ladd, Dana Forrest. "Extending Two-Dimensional Knowledge Management System Theory with Organizational Activity Systems' Workflow Dynamics." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/3305.

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Between 2005 and 2010 and across 48 countries, including the United States, an increasing positive correlation emerged between national intellectual capital and gross domestic product per capita. The problem remains organizations operating with increasingly complex knowledge networks often lose intellectual capital resulting from ineffective knowledge management practices. The purpose of this study was to provide management opportunities to reduce intellectual capital loss. The first research question addressed how an enhanced intelligent, complex, and adaptive system (ICAS) model could clarify management's understanding of organizational knowledge transfer. The second research question addressed how interdisciplinary theory could become more meaningfully infused to enhance management practices of the organization's knowledge ecosystem. The nature of this study was phenomenological to gain deeper understanding of individual experiences related to knowledge flow phenomena. Data were collected from a single historical research dataset containing 11 subject interviews and analyzed using Moustakas' heuristic framework. Original interviews were collected in 2012 during research within a military unit, included in this study based on theme alignment. Organizational, knowledge management, emergent systems, and cognition theories were synthesized to enhance understandings of emergent ICAS forces. Individuals create unique ICAS flow emergent force dynamics in relation to micro- and macro-meso sensemaking and sensegiving. Findings indicated individual knowledge work significantly shapes emergent ICAS flow dynamics. Collectively enhancing knowledge stewardship over time could foster positive social change by improving national welfare.
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Passey, Jr David Joseph. "Growing Complex Networks for Better Learning of Chaotic Dynamical Systems." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8146.

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This thesis advances the theory of network specialization by characterizing the effect of network specialization on the eigenvectors of a network. We prove and provide explicit formulas for the eigenvectors of specialized graphs based on the eigenvectors of their parent graphs. The second portion of this thesis applies network specialization to learning problems. Our work focuses on training reservoir computers to mimic the Lorentz equations. We experiment with random graph, preferential attachment and small world topologies and demonstrate that the random removal of directed edges increases predictive capability of a reservoir topology. We then create a new network model by growing networks via targeted application of the specialization model. This is accomplished iteratively by selecting top preforming nodes within the reservoir computer and specializing them. Our generated topology out-preforms all other topologies on average.
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Books on the topic "Complex Dynamic Systems Theory"

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Fogal, Gary G., and Marjolijn H. Verspoor, eds. Complex Dynamic Systems Theory and L2 Writing Development. Amsterdam: John Benjamins Publishing Company, 2020. http://dx.doi.org/10.1075/lllt.54.

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Dynamics of complex systems. Reading, Mass: Addison-Wesley, 1997.

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Bar-Yam, Yaneer. Dynamics of complex systems. Boulder, CO: Westview Press, 2003.

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Abraham, Ralph. Complex dynamical systems: Selected papers. Santa Cruz, CA: Aerial Press, 1985.

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service), SpringerLink (Online, ed. Complex Time-Delay Systems: Theory and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Golès, E. Dynamics of Complex Interacting Systems. Dordrecht: Springer Netherlands, 1996.

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Model emergent dynamics in complex systems. Philadelphia: Society for Industrial and Applied Mathematics, 2015.

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Herbert, Praehofer, and Kim Tag Gon, eds. Theory of modeling and simulation: Integrating discrete event and continuous complex dynamic systems. 2nd ed. San Diego: Academic Press, 2000.

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Coherent dynamics of complex quantum systems. Berlin: Springer, 2004.

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Complex systems dynamics: An introduction to automata networks. Reading, Mass: Addison-Wesley Pub. Co., Advanced Book Program, 1991.

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Book chapters on the topic "Complex Dynamic Systems Theory"

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Larsen-Freeman, Diane. "Complex Dynamic Systems Theory." In Theories in Second Language Acquisition, 248–70. Third edition. | New York, NY: Routledge, 2020. | Series: Second language acquisition research: Routledge, 2020. http://dx.doi.org/10.4324/9780429503986-11.

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Toffoli, Denyze. "Complex Dynamic Systems Theory (CDST)." In Informal Learning and Institution-wide Language Provision, 5–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37876-9_1.

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Verspoor, Marjolijn, and Wander Lowie. "Complex Dynamic Systems Theory (CDST)." In The Routledge Handbook of Second Language Acquisition and Corpora, 189–200. London; New York: Routledge, 2020. |: Routledge, 2020. http://dx.doi.org/10.4324/9781351137904-17.

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Friesz, Terry L., and David Bernstein. "Elements of Graph Theory." In Complex Networks and Dynamic Systems, 75–120. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7594-2_3.

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Ruscoe, Gordon C. "Complex Organizations and Living Systems Theory." In Analysis of Dynamic Psychological Systems, 181–94. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-6440-9_7.

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Ushioda, Ema. "6. Context and Complex Dynamic Systems Theory." In Motivational Dynamics in Language Learning, edited by Zoltán Dörnyei, Peter D. MacIntyre, and Alastair Henry, 47–54. Bristol, Blue Ridge Summit: Multilingual Matters, 2014. http://dx.doi.org/10.21832/9781783092574-008.

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Verspoor, Marjolijn, and Wander Lowie. "Complex Dynamic Systems Theory and Second Language Development." In Research Questions in Language Education and Applied Linguistics, 799–803. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79143-8_138.

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Fogal, Gary G. "Chapter 11. Unpacking ‘simplex systems’." In Complex Dynamic Systems Theory and L2 Writing Development, 271–94. Amsterdam: John Benjamins Publishing Company, 2020. http://dx.doi.org/10.1075/lllt.54.11fog.

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Gros, Claudius. "Elements of Cognitive Systems Theory." In Complex and Adaptive Dynamical Systems, 243–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04706-0_8.

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Gros, Claudius. "Elements of Cognitive Systems Theory." In Complex and Adaptive Dynamical Systems, 191–229. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71874-1_7.

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Conference papers on the topic "Complex Dynamic Systems Theory"

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Butenina, D. V., and V. S. Metrikin. "ON THEORY OF DYNAMIC FRICTIONAL SYSTEMS WITH MEMORY." In Modeling and situational quality management of complex systems. Saint-Petersburg State University of Aerospace Instrumentation, 2020. http://dx.doi.org/10.31799/978-5-8088-1449-3-2020-1-11-19.

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Szamel, Grzegorz, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Diagrammatic Approach to the Dynamics of Interacting Brownian Particles: Mode-Coupling Theory, Generalized Mode-Coupling Theory, and All That." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897869.

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Chong, Song-Ho, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Incorporating Activated Hopping Processes into the Mode-Coupling Theory for Glassy Dynamics." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897775.

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Matsuda, Hiromitsu. "Theory for The Switching of Nematic Director Deformations." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764090.

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Kitamura, Toyoyuki. "A unified theory of the liquid-glass transition." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764241.

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Kawakatsu, Toshihiro. "Dynamical Self-Consistent Field Theory for Inhomogeneous Polymer Systems." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764136.

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Miyazaki, Kunimasa. "Supercooled liquids under shear: A mode-coupling theory approach." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764242.

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Li, Yuting, and Fuyuan Xiao. "A Complex Dynamic Weight Assignment Method for Conflict Management in Complex Evidence Theory." In 2021 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2021. http://dx.doi.org/10.1109/icus52573.2021.9641460.

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Indei, Tsutomu. "Analysis of Shear-Thickening in Physical Gel by Transient Network Theory." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764121.

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Uneyama, Takashi. "Generalization of the Ohta-Kawasaki Theory for Microphase Separation of Block Copolymer Melts." In SLOW DYNAMICS IN COMPLEX SYSTEMS: 3rd International Symposium on Slow Dynamics in Complex Systems. AIP, 2004. http://dx.doi.org/10.1063/1.1764200.

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Reports on the topic "Complex Dynamic Systems Theory"

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Perdigão, Rui A. P., Carlos A. L. Pires, and Julia Hall. Synergistic Dynamic Theory of Complex Coevolutionary Systems: Disentangling Nonlinear Spatiotemporal Controls on Precipitation. Meteoceanics, November 2016. http://dx.doi.org/10.46337/161110.

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Соловйов, Володимир Миколайович, Наталя Володимирівна Моісеєнко, and Олена Юріївна Тарасова. Complexity theory and dynamic characteristics of cognitive processes. Springer, January 2020. http://dx.doi.org/10.31812/123456789/4143.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities of the complex systems theory will allow to correct the corresponding pedagogical technologies. It has been proposed to track and quantitatively describe the cognitive trajectory using specially transformed computer games which can be used to test the processual characteristics of thinking.
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Soloviev, Vladimir, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, and Lukáš Pichl. Complex networks theory and precursors of financial crashes. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4119.

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Based on the network paradigm of complexity in the work, a systematic analysis of the dynamics of the largest stock markets in the world and cryptocurrency market has been carried out. According to the algorithms of the visibility graph and recurrence plot, the daily values of stock and crypto indices are converted into a networks and multiplex networks, the spectral and topological properties of which are sensitive to the critical and crisis phenomena of the studied complex systems. This work is the first to investigate the network properties of the crypto index CCI30 and the multiplex network of key cryptocurrencies. It is shown that some of the spectral and topological characteristics can serve as measures of the complexity of the stock and crypto market, and their specific behaviour in the pre-crisis period is used as indicators- precursors of critical phenomena.
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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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Soloviev, Vladimir, Natalia Moiseienko, and Olena Tarasova. Modeling of cognitive process using complexity theory methods. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3609.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using multiscale, multifractal and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities of the complex systems theory will allow to correct the corresponding pedagogical technologies.
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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], July 2009. http://dx.doi.org/10.31812/0564/1134.

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This work deals with the new, relativistic direction in quantum econophysics, within the bounds of which a change of the classical paradigms in mathematical modelling of socio-economic system is offered. Classical physics proceeds from the hypothesis that immediate values of all the physical quantities, characterizing system’s state, exist and can be accurately measured in principle. Non-relativistic quantum mechanics does not reject the existence of the immediate values of the classical physical quantities, nevertheless not each of them can be simultaneously measured (the uncertainty principle). Relativistic quantum mechanics rejects the existence of the immediate values of any physical quantity in principle, and consequently the notion of the system state, including the notion of the wave function, which becomes rigorously nondefinable. The task of this work consists in econophysical analysis of the conceptual fundamentals and mathematical apparatus of the classical physics, relativity theory, non-relativistic and relativistic quantum mechanics, subject to the historical, psychological and philosophical aspects and modern state of the socio-economic modeling problem. We have shown that actually and, virtually, a long time ago, new paradigms of modeling were accepted in the quantum theory, within the bounds of which the notion of the physical quantity operator becomes the primary fundamental conception(operator is a mathematical image of the procedure, the action), description of the system dynamics becomes discrete and approximate in its essence, prediction of the future, even in the rough, is actually impossible when setting aside the aftereffect i.e. the memory. In consideration of the analysis conducted in the work we suggest new paradigms of the economical-mathematical modeling.
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Соловйов, В. М., and О. С. Лук’янчук. Фолксономія соціально-економічних об’єктів в складних мережах засобами CorrRank. Брама-Україна, 2014. http://dx.doi.org/10.31812/0564/1307.

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The financial and economic crisis 2007-2009 shown that economic institutions are closely linked and the behavior of complex systems is difficult predictable. There is an urgent need to develop new quantitative methods that adequately describe the dynamic changes in complex systems during normal conditions and during the crisis. There is a need for methods that describe the topology of the interaction between economic institutions, using the tools developed in the theory of networks. The paper used a method of investigation of nonlinear dynamics, as the random matrices theory, which when combined with network methods are adequate means for the study of complex systems. The given technique we have implemented the study in the real time series of global stock markets.
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Ilachinski, Andrew. Land Warfare and Complexity, Part II: An Assessment of the Applicability of Nonlinear Dynamics and Complex Systems Theory to the Study of Land Warfare. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada362621.

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Unzeta, Bruno Bueno, Jan de Boer, Ruben Delvaeye, Bertrand Deroisy, Marc Fontoynont, Daniel Neves Pimenta, Per Reinhold, Sophie Stoffer, and Robert Weitlaner. Review of lighting and daylighting control systems. IEA SHC Task 61, February 2021. http://dx.doi.org/10.18777/ieashc-task61-2021-0003.

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There is a large number of control systems proposed either by lighting manufacturers or motor manufacturers for shading systems. In addition there are many other solutions proposed by specific manufacturers of Building Management Systems (BMS) or manufacturers of components to be installed in luminaires and switches, as well as in the electric lighting architecture (transformers, gateways to the internet, sensors, etc.). For many consumers -i.e.-the installer, the facility manager, or the final user (building occupant) – this forms a complex and dynamic market environment with high frequent changes, every year or even every month or day. In this report we aim to provide some basic strategic information, showing the status of the supply at the time this report was written (2019-2021). Although the market develops very fast, there are principles of controls which are rather independent of the progress of technology.
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Soloviev, Vladimir, and Andrey Belinskij. Methods of nonlinear dynamics and the construction of cryptocurrency crisis phenomena precursors. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2851.

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This article demonstrates the possibility of constructing indicators of critical and crisis phenomena in the volatile market of cryptocurrency. For this purpose, the methods of the theory of complex systems such as recurrent analysis of dynamic systems and the calculation of permutation entropy are used. It is shown that it is possible to construct dynamic measures of complexity, both recurrent and entropy, which behave in a proper way during actual pre-crisis periods. This fact is used to build predictors of crisis phenomena on the example of the main five crises recorded in the time series of the key cryptocurrency bitcoin, the effectiveness of the proposed indicators-precursors of crises has been identified.
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