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Artykuły w czasopismach na temat „Chaos theory”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 9 czerwca 2025

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1

Bates, Jane. "Chaos theory." Nursing Standard 28, no. 41 (June 11, 2014): 26–27. http://dx.doi.org/10.7748/ns.28.41.26.s30.

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Sereno, Prartho. "Chaos Theory." Radical Teacher 122 (April 28, 2022): 105–6. http://dx.doi.org/10.5195/rt.2022.997.

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This poem is part of a series using scientific concepts for messy (& glorious) human experiences; it is part of a recently completed manuscript STARFALL IN THE TEMPLE OF SAD GOODBYES.  Prartho's bio: Prartho Sereno served as fourth Poet Laureate of Marin County, 2015—17. She has taught poem-making to children as a Poet in the Schools since 1999 and for over 12 years to adults at the College of Marin. Her four prizewinning poetry collections include Indian Rope Trick, Elephant Raga, Call from Paris, and her illustrated collection, Causing a Stir: The Secret Lives and Loves of Kitchen Utensils.

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GOLDENSOHN, BARRY. "CHAOS THEORY." Yale Review 107, no. 2 (2019): 86. http://dx.doi.org/10.1353/tyr.2019.0065.

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Moore, Alison. "Chaos theory." Nursing Standard 15, no. 31 (April 18, 2001): 14–16. http://dx.doi.org/10.7748/ns.15.31.14.s27.

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Manning-Morton, Julia. "Chaos theory." Nursery World 2015, no. 9 (May 4, 2015): 26–27. http://dx.doi.org/10.12968/nuwa.2015.9.26.

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Lafollette, Hugh, and Niall Shanks. "Chaos Theory." Idealistic Studies 24, no. 3 (1994): 241–54. http://dx.doi.org/10.5840/idstudies199424317.

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Devaney, R. L. "Chaos Theory." Science 260, no. 5111 (May 21, 1993): 1173. http://dx.doi.org/10.1126/science.260.5111.1173.

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Bates, Jane. "Chaos theory." Nursing Standard 28, no. 28 (March 12, 2014): 26–27. http://dx.doi.org/10.7748/ns2014.03.28.28.26.s31.

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McGuire, Elaine. "Chaos Theory." JONA: The Journal of Nursing Administration 29, no. 2 (February 1999): 8–9. http://dx.doi.org/10.1097/00005110-199902000-00004.

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Diggs, Walter W. "Chaos Theory." JONA: The Journal of Nursing Administration 29, no. 7/8 (July 1999): 8. http://dx.doi.org/10.1097/00005110-199907000-00005.

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GOLDENSOHN, BARRY. "CHAOS THEORY." Yale Review 107, no. 2 (March 28, 2019): 86. http://dx.doi.org/10.1111/yrev.13487.

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Kyriazis, M. "Chaos theory." BMJ 304, no. 6820 (January 18, 1992): 186. http://dx.doi.org/10.1136/bmj.304.6820.186-c.

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CHAST, ROZ. "CHAOS THEORY." Sciences 40, no. 3 (May 6, 2000): 49. http://dx.doi.org/10.1002/j.2326-1951.2000.tb03496.x.

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Bradley, George. "Chaos, the Theory." Grand Street 8, no. 1 (1988): 92. http://dx.doi.org/10.2307/25007171.

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15

Rodica, Bulai, and Victor Fanari. "Cryptography Chaos Theory." Central and Eastern European eDem and eGov Days 331 (July 11, 2018): 447–58. http://dx.doi.org/10.24989/ocg.v331.37.

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The development of information society, which has led to an impressive increase in the volume of information, mainly economic, circulated in computer networks, accelerated the development and mostly the use of modern cryptography tools. In the last years, researchers have pointed out that there is a possible similarity between chaos and cryptography, many of the properties of chaotic dynamic systems having correlation among the cryptographic systems that are based on computational methods. Studies carried out on chaotic dynamic systems usage in digital crypto-systems have determined the occurrence of similar to classic techniques, but also of some specific techniques and methods that have been analyzed and evaluated. The attempts to develop new encryption ?lgorithms based on chaos theory have evolved gradually from simple solutions, which suppose the iteration of a din?mic system to obtain binary sequence used for text masking, to methods that imply coupled din?mic systems and hybrid techniques that would combine the chaos advantages with classical methods. In this article there are presented 3 encryption algorithms based on chaos theory: RC4, Fractal Encryption and Cellular Automata, implemented in a system of encryption and operation mode analysis for each algorithm separately.

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16

Titley, hAlan. "Fabhalscéal: 'chaos theory'." Comhar 56, no. 3 (1997): 37. http://dx.doi.org/10.2307/25573253.

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17

Ruelle, David. "Early chaos theory." Physics Today 67, no. 3 (March 2014): 9–10. http://dx.doi.org/10.1063/pt.3.2291.

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Shepelyansky, Dima. "Early chaos theory." Physics Today 67, no. 3 (March 2014): 10. http://dx.doi.org/10.1063/pt.3.2292.

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Motter, Adilson E., and David K. Campbell. "Early chaos theory." Physics Today 67, no. 3 (March 2014): 10. http://dx.doi.org/10.1063/pt.3.2293.

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20

Dickson, Michael. "THEORY FROM CHAOS." Episteme 10, no. 4 (November 13, 2013): 465–78. http://dx.doi.org/10.1017/epi.2013.37.

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AbstractI explore an agent-based model of the development and dissemination of scientific theory that makes very little use of any pre-defined “social structure” (such as partnerships or collaborations). In these models, under a broad range of values of the parameters, widespread (but not universal) “agreement” about scientific theory emerges. Moreover, the residual disagreement turns out to be important to developing new theories in the face of new evidence.

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21

de Paor, Louis. "Bóithre / Chaos Theory." Ploughshares 41, no. 1 (2015): 58–59. http://dx.doi.org/10.1353/plo.2015.0096.

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22

Woehle, Ralph. "Complexity Theory, Nonlinear Dynamics, and Change: Augmenting Systems Theory." Advances in Social Work 8, no. 1 (April 30, 2007): 141–51. http://dx.doi.org/10.18060/137.

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Social work change processes are addressed in terms of complexity theory and nonlinear dynamics, adding the edge-of-chaos, as well as chaos to the entropy and homeostasis of ecosystems theory. Complexity theory sees the edge-of-chaos as valuable to living systems.A logistic difference equation is utilized to model the nonlinear dynamics of the hypothetical contentment of an individual. The modeling suggests that substantial input would be required to move an individual from homeostasis to the beneficial stage at the edge-of-chaos, but that too much input might result in chaos.With good measurement and data observed over time, social work might benefit from complexity theory and nonlinear dynamics, which are already advancing in related disciplines.

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23

Davis, Peter. "Video Chaos and Topics in Applied Chaos Theory." Journal of the Institute of Television Engineers of Japan 48, no. 9 (1994): 1114–20. http://dx.doi.org/10.3169/itej1978.48.1114.

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Lal, Dr Babu. "A Brief Study Report on the Applications of Chaos Theory in Real Life." Middle East Journal of Applied Science & Technology 06, no. 04 (2023): 52–58. http://dx.doi.org/10.46431/mejast.2023.6404.

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The mathematical field of chaos theory has become a valuable resource for understanding complex systems that exhibit sensitive dependence on initial conditions. The creation of chaos theory, which has applications in a wide range of scientific domains, involved many scientists and mathematicians. It was originally created in the physical sciences to describe the behavior of dynamic systems. Applications of the chaos theory can be found in many different domains including economics, biology, social sciences and meteorology. This study investigates the basic ideas of chaos theory and its application in real life scenarios. It highlights the impact of chaos theory on various domains, emphasizing its relevance in predicting, understanding, and controlling complex systems and also presents an overview of chaos theory. In this study, we will go over chaotic systems, real-world uses for chaos theory, and chaos theory's drawbacks. We ultimately determine the chaos theory study report's conclusion.

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25

Ergüzel, Oylum Şehvez. "Chaos Theory and Financial Markets: A Systematic Review of Crisis and Bubbles." Chaos Theory and Applications 7, no. 1 (March 7, 2025): 70–77. https://doi.org/10.51537/chaos.1634673.

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Financial markets have been characterized by various financial crises and unpredictable fluctuations and price movements. While traditional finance theories, which assume that financial markets are composed of rational participants, fail to explain the market dynamics that cause crises, chaos theory provides a powerful framework to make sense of the unpredictable, deterministic nature of markets. Chaos theory claims that market fluctuations are not random but have a specific mathematical pattern.This study presents a systematic literature review addressing the relationship between chaos theory and financial crises and speculative bubbles. By analyzing articles from the Web of Science database, its relationship with crisis and bubble dynamics, and the main methodological approaches. This study explores the effectiveness of chaos theory in understanding financial instability in the context of financial crises and bubbles by examining the research questions identified for the application of chaos theory in finance through Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology and keyword analysis.

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26

Wheeler, Frederick P., and C. Brown. "Chaos and Catastrophe Theory." Statistician 45, no. 3 (1996): 385. http://dx.doi.org/10.2307/2988477.

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Passes, Alan. "Chaos Theory A Footnote." Anthropology Humanism 31, no. 1 (June 2006): 75–82. http://dx.doi.org/10.1525/ahu.2006.31.1.75.

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Kocarev, L., J. Szczepanski, J. M. Amigo, and I. Tomovski. "Discrete Chaos-I: Theory." IEEE Transactions on Circuits and Systems I: Regular Papers 53, no. 6 (June 2006): 1300–1309. http://dx.doi.org/10.1109/tcsi.2006.874181.

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Passes, Alan. "Chaos Theory A Footnote." Anthropology and Humanism 31, no. 1 (June 2006): 75–82. http://dx.doi.org/10.1525/anhu.2006.31.1.75.

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Torres-Rivera, Edil, Marlowe H. Smaby, and Cleborne D. Maddux. "Chaos Theory and Computers." Computers in the Schools 12, no. 4 (December 30, 1996): 55–61. http://dx.doi.org/10.1300/j025v12n04_06.

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31

Bartholomew, David. "Book Reviews : Chaos Theory." Expository Times 110, no. 7 (April 1999): 232–33. http://dx.doi.org/10.1177/001452469911000726.

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Sawhney, Vinit. "Chaos theory and suicide." Australasian Psychiatry 20, no. 6 (December 2012): 533. http://dx.doi.org/10.1177/1039856212464911.

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33

Thiétart, R. A., and B. Forgues. "Chaos Theory and Organization." Organization Science 6, no. 1 (February 1995): 19–31. http://dx.doi.org/10.1287/orsc.6.1.19.

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34

Klioutchnikov, Igor, Mariia Sigova, and Nikita Beizerov. "Chaos Theory in Finance." Procedia Computer Science 119 (2017): 368–75. http://dx.doi.org/10.1016/j.procs.2017.11.196.

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35

Cartwright, T. J. "Planning and Chaos Theory." Journal of the American Planning Association 57, no. 1 (March 31, 1991): 44–56. http://dx.doi.org/10.1080/01944369108975471.

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Siviter, Bethann. "Chaos theory and us." Primary Health Care 27, no. 8 (September 27, 2017): 15. http://dx.doi.org/10.7748/phc.27.8.15.s20.

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37

Bland, Andrew M., and Bridget J. Roberts-Pittman. "Existential and Chaos Theory." Journal of Career Development 41, no. 5 (July 29, 2013): 382–401. http://dx.doi.org/10.1177/0894845313498303.

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38

Heinrichs, Douglas W. "Chaos and Clinical Theory." Philosophy, Psychiatry, & Psychology 12, no. 3 (2005): 243–46. http://dx.doi.org/10.1353/ppp.2006.0007.

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Gallardo Velázquez, Anahí. "The Age of Uncertainty, Organization, and Chaos Theory." Administración y Organizaciones 27 (September 12, 2024): 190–203. http://dx.doi.org/10.24275/lnya4688.

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Smith, R. D. "Social Structures and Chaos Theory." Sociological Research Online 3, no. 1 (March 1998): 82–102. http://dx.doi.org/10.5153/sro.113.

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Up to this point many of the social-scientific discussions of the impact of Chaos theory have dealt with using chaos concepts to refine matters of prediction and control. Chaos theory, however, has far more fundamental consequences which must also be considered. The identification of chaotic events arise as consequences of the attempts to model systems mathematically. For social science this means we must not only evaluate the mathematics but also the assumptions underlying the systems themselves. This paper attempts to show that such social-structural concepts as class, race, gender and ethnicity produce analytic difficulties so serious that the concept of structuralism itself must be reconceptualised to make it adequate to the demands of Chaos theory. The most compelling mode of doing this is through the use of Connectionism. The paper will also attempt to show this effectively means the successful inclusion of Chaos theory into social sciences represents both a new paradigm and a new epistemology and not just a refinement to the existing structuralist models. Research using structuralist assumptions may require reconciliation with the new paradigm.

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41

Lavrikova, Yu G., O. N. Buchinskaia, and Yu G. Myslyakova. "Chaos Theory: Expanding the Boundaries of Economic Research." AlterEconomics 20, no. 1 (2023): 79–109. http://dx.doi.org/10.31063/altereconomics/2023.20-1.5.

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The application of chaos theory in economics is associated with an increasing level of uncertainty and external shocks faced by economic systems. This article reviews and systematizes the approaches to the use of chaos theory in economic research. To this end, we discuss the concept of chaos and its relevance; and identify those areas of research for which the application of chaos theory holds most promise. The research methodology comprises methods of system-functional and system-historical analysis. These methods are used to analyze the content of publications devoted to the application of chaos theory to study price fluctuations in individual markets, the behaviour of firms in the conditions of imperfect competition, the analysis of uncertainty of consumer behaviour, as well as cyclical economic development and disequilibrium associated with the balance of unemployment and inflation and geopolitical tensions. The study draws the distinction between the concepts of synergetics and chaos theory. It is shown that although these two research areas are related, they have a different focus of application. The study also identifies some common patterns in the use of chaos theory tools for economic research: at the first stage, elements of chaos, fractals and nonlinearity in the series of economic data are identified; at the second stage, researchers try to explain certain events by using the tools of chaos theory; and at the third stage, chaos theory is used to model and subsequently predict short-term and long-term trends. Chaos theory expands the mathematical apparatus of economic research, allowing researchers to access tools from the field of physics and other natural sciences, which enhances interdisciplinary synthesis.

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42

Iwakabe, Shigeru. "Psychotherapy and chaos theory: The metaphoric relationship between psychodynamic therapy and chaos theory." Psychotherapy: Theory, Research, Practice, Training 36, no. 3 (1999): 274–86. http://dx.doi.org/10.1037/h0087720.

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Li, Tongxing, Yuhan Li, and Shenglei Dongye. "Research on Chaos Theory and Chaos in Medical Practice." OALib 11, no. 04 (2024): 1–8. http://dx.doi.org/10.4236/oalib.1111363.

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Raisio, Harri, and Niklas Lundström. "Managing Chaos." Administration & Society 49, no. 2 (July 27, 2016): 296–315. http://dx.doi.org/10.1177/0095399714541269.

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Could public administration research gain something by analyzing issues, practices, and events in ways “beyond the usual”? Could we learn something by analyzing movies? As public administration researchers, we are curious to see what lessons can be drawn from movies based on chaos theory. In this article, three movies, Chaos Theory, The Butterfly Effect, and Mr. Nobody, are analyzed. Analyzing these movies provides two advantages. First, it illustrates the content of chaos theory in an easy-to-understand format. Second, it links the actions in the movies with those of public officials in the real world, providing ideal models of “chaos management.”

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JELÍNEK, Josef, Alena BŘEZNICKÁ, Petr STODOLA, and Jiří STODOLA. "Theory of Chaos in Transport." Challenges to national defence in contemporary geopolitical situation 2022, no. 1 (November 3, 2022): 26–31. http://dx.doi.org/10.47459/cndcgs.2022.3.

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The paper deals with the theoretical problems of nonlinear dynamical systems with internal parameters, which can be called chaotic systems with some simplification. The science of chaos has a relatively short history and is not yet sufficiently reflected by experts in various fields, resp. The authors are confused with the terms confusion, coincidence, etc. The authors believe that in examining chaos, it is necessary to consistently distinguish systems, namely deterministic, stochastic, and chaotic. Specifically, possible and anticipated practical applications of chaos theory with a focus on the issue of congestion of traffic flows in road transport.

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BAWA, Parveen, Neha BHARDWAJ, and Sumit Kaur BHATİA. "Different Variants of Bernstein Kantorovich Operators and Their Applications in Sciences and Engineering Field." Chaos Theory and Applications 5, no. 4 (September 4, 2023): 293–99. http://dx.doi.org/10.51537/chaos.1320442.

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In this article, we investigate various Bernstein-Kantorovich variants together with their approximation properties. Nowadays, these variants of Bernstein-Kantorovich operators have been a source of inspiration for researchers as it helps to approximate integral functions also which is not feasible in the case of discrete operators. Chaos theory has also been referred to as complexity theory. Using chaos theory complexity is also reduced as in approximation theory. Thus in order to reduce complexity and to have better understanding of images in sciences and engineering field, sampling Kantorovich operators of approximation theory are widely used in this regard for enhancement of images. Thus, we discuss the important applications of Kantorovich operators depicting pragmatic and theoretical aspects of approximation theory.

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Fulai, Wang. "Improvement and empirical research on chaos control by theory of “chaos + chaos = order”." Chaos: An Interdisciplinary Journal of Nonlinear Science 22, no. 4 (December 2012): 043145. http://dx.doi.org/10.1063/1.4772966.

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Du, Mengxuan. "Analysis of Chaos Fluctuations in Atmospheric Prediction, Fluid Mechanics and Power System Load Forecasting." Highlights in Science, Engineering and Technology 72 (December 15, 2023): 594–601. http://dx.doi.org/10.54097/3kqd5952.

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Chaos fluctuation is one of the hottest topics in differential equations and dynamics systems. On this basis, this study discusses the development of chaos theory, introduces Lorenz's discovery of the butterfly effect, Ruelle's research on strange attractors, and Mandelbrot's contributions to fractals; briefly explains the basic principles of chaos theory and bifurcation theory and analyzes them based on partial differential equations. It provides the Lyapunov exponent method for identifying chaos and illustrates the basic properties and laws of chaotic motion using the Logistic map as an example; focuses on the applications of chaos theory in atmospheric science, fluid mechanics, and load forecasting, explaining the basic principles, research methods, and roles of the theory in solving these three complex fields involving disaster prediction, turbulence analysis, SVM model and Legendre orthogonal basis neural networks. Finally, this paper analyzes the limitations of chaos theory in the study of multiple parameters, multiple scales, and unknown influencing factors. These results express hope for the development of chaos theory in more fields such as communication, quantum computing, and biomedical science, giving prospects for the future.

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Toushmalani, Reza, Maasumeh Zandi, and Azizeh Khanchobani Ahranjani. "Adolphe (Benjamin Constant's book): view point of chaos theory." International Journal of Academic Research 6, no. 2 (March 30, 2014): 327–32. http://dx.doi.org/10.7813/2075-4124.2014/6-2/b.49.

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Y. Al-hami, Kifah. "A NOTE ON CHAOS THEORY." Advances in Mathematics: Scientific Journal 10, no. 4 (April 12, 2021): 2077–82. http://dx.doi.org/10.37418/amsj.10.4.22.

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