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1

Skiadas, Christos H. Chaotic modelling and simulation: analysis of chaotic models, attractors and forms. Boca Raton: Chapman & Hall/CRC, 2009.

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2

Yannacopoulos, A. N. Diffusion models in strongly chaotic Hamiltonian systems. [s.l.]: typescript, 1993.

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3

Aguirre, L. A. Validating identified nonlinear models with chaotic dynamics. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1993.

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4

H, Skiadas Christos, and Dimotikalis Ioannis, eds. Chaotic systems: Theory and applications. Singapore: World Scientific, 2010.

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5

Chaotic elections!: A mathematician looks at voting. [Providence, R.I.]: American Mathematical Society, 2001.

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6

Benhabib, Jess. Chaotic interest rate rules: Expanded version. Cambridge, MA: National Bureau of Economic Research, 2004.

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7

Aguirre, L. A. Retrieving dynamical invariants from chaotic data using NARMAX models. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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8

Hommes, Carsien Harm. Chaotic dynamics in economic models: Some simple case-studies. Groningen: Wolters-Noordhoff, 1991.

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9

Hans, Dewachter, and Embrechts Marc, eds. Exchange rate theory: Chaotic models of foreign exchange markets. Oxford, UK: Blackwell, 1993.

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10

Chaotic dynamics applied to biological information processing. Berlin: Akademie-Verlag, 1987.

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11

Nicolis, J. Chaotic dynamics applied to biological information processing. Berlin: Akademie-Verlag, 1987.

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12

Synchronization in coupled chaotic circuits and systems. River Edge, N.J: World Scientific, 2002.

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13

Models and applications of chaos theory in modern sciences. Boca Raton, FL: CRC Press/Taylor & Francis, 2011.

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14

Fabio, Cecconi, and Vulpiani A, eds. Chaos: From simple models to complex systems. Hackensack, NJ: World Scientific, 2010.

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15

Iyengar, S. R. K. (Satteluri R. K.), 1941- author, ed. Introduction to mathematical modeling and chaotic dynamics. Boca Raton: CRC Press, 2014.

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16

Robin, Robertson. Indra's net: Alchemy and chaos theory as models for transformation. Wheaton, Ill: Theosophical Pub. House, 2009.

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17

Billings, S. A. Discrete wavelet models for identification and qualitative analysis of chaotic systems. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1997.

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18

1946-, Gillogly James, and Juncosa M. L. 1921-, eds. Non-monotonicity, chaos, and combat models. Santa Monica, CA: Rand, 1991.

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19

Kamenskaya, Valentina, and Leonid Tomanov. The fractal-chaotic properties of cognitive processes: age. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1053569.

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In the monograph the literature information about the nature of stochastic processes and their participation in the work of the brain and human behavior. Established that the real cognitive processes and mental functions associated with the procedural side of external events and the stochastic properties of the internal dynamics of brain systems in the form of fluctuations of their parameters, including cardiac rhythm generation and sensorimotor reactions. Experimentally proved that the dynamics of the measured physiological processes is in the range from chaotic regime to a weakly deterministic — fractal mode. Fractal mode determines the maximum order and organization homeostasis of cognitive processes and States, as well as high adaptive ability of the body systems with fractal properties. The fractal-chaotic dynamics is a useful quality to examine the actual physiological and psychological systems - a unique numerical identification of the order and randomness of the processes through calculation of fractal indices. The monograph represents the results of many years of experimental studies of the reflection properties of stochastic sensorimotor reactions, as well as stochastic properties of heart rate in children, Teens and adults in the age aspect in the speech activity and the perception of different kinds of music with its own frequency-spectral structure. Designed for undergraduates, graduate students and researchers that perform research and development on cognitive psychology and neuroscience.
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20

Application of chaos theory to psychological models. Austin, Tex: Performance Strategies Publications, 1998.

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21

Complex and chaotic nonlinear dynamics: Advances in economics and finance, mathematics and statistics. Berlin: Springer, 2009.

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22

service), SpringerLink (Online, ed. Polystochastic Models for Complexity. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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23

1941-, Stanley H. Eugene, Ostrowsky Nicole 1943-, Institut d'études scientifiques de Cargèse., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Random fluctuations and pattern growth: Experiments and models. Dordrecht [Netherlands]: Kluwer Academic Publishers, 1988.

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24

Aguirre, L. A. Identification of models for chaotic systems from noisy data: Implications for performance and nonlinear filtering. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1993.

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25

Lucas, Tom. A study of non-monotonicity and randomness in combat models. Santa Monica, CA: Rand, 1997.

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26

Lucas, Tom. A study of non-monotonicity and randomness in combat models. Santa Monica, CA: Rand, 1997.

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27

Richardson, J. David. Revealing comparative advantage: Chaotic or coherent patterns across time and sector and U.S. trading partner? Cambridge, MA: National Bureau of Economic Research, 1999.

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28

Chaotic Modeling, Simulation, and Applications International Conference (3rd 2010 Chania, Greece). Chaos theory: Modeling, simulation and applications : selected papers from the 3rd Chaotic Modeling and Simulation Conference (CHAOS2010), Chania, Crete, Greece, 1-4 June 2010. Singapore: World Scientific, 2011.

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29

Zawadzki, Henryk. Chaotyczne systemy dynamiczne: Elementy teorii i wybrane przykłady ekonomiczne. Katowice: Akademia Ekonomiczna im. Karola Adamieckiego, 1996.

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30

Goertzel, Ben. Chaotic logic: Language, thought, and reality from the perspective of complex systems science. New York: Plenum Press, 1994.

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31

Dynamical chaos: Models and experiments : appearance routes and structure of chaos in simple dynamical systems. Singapore: World Scientific, 1995.

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32

Menotti, Roberto. Mondo caos: Politica internazionale e nuovi paradigmi scientifici. Roma: Laterza, 2010.

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33

Guyon, Etienne. Du sac de billes au tas de sable. Paris: Editions O. Jacob, 1994.

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34

Cellular automata: A discrete universe. Singapore: World Scientific, 2001.

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35

P. C. van den Noort. Chaostheorie en evolutie. Delft: Eburon, 1993.

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36

Dauphiné, André. Chaos, fractales et dynamiques en géographie. Montpellier: RECLUS, 1995.

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37

International Conference on Disorder and Chaos (1997 University of Rome "La Sapienza"). International Conference on Disorder and Chaos: In honour of Giovanni Paladin : University of Rome "La Sapienza", Italy, 22-24 September, 1997. Les Ulis, France: EDP Sciences, 1998.

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38

Mondo caos: Politica internazionale e nuovi paradigmi scientifici. Roma: Laterza, 2010.

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39

Elizondo, Gerardo Burkle. Teorías de caos y catástrofes para médicos, biólogos y psicólogos: Las biomatemáticas para el siglo XXI. Zacatecas: Universidad Autónoma de Zacatecas, 1999.

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40

Kamada, Ray. Chaos metrics for testing Lagrangian particle models. Monterey, Calif: Naval Postgraduate School, 1993.

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41

ICRA Network Workshop (2nd 1999 Rome, Pescara, Italy). The chaotic universe: Proceedings of the Second ICRA Network Workshop, Rome, Pescara, Italy, 1-5 February 1999. Edited by Gurzadyan V. G. 1955- and Ruffini Remo. Singapore: World Scientific, 2000.

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42

Leadership and the new science: Discovering order in a chaotic world. 2nd ed. San Francisco: Berrett-Koehler Publishers, 1999.

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43

Griffiths, H. Brian. Mathematics of models: Continuous and discrete dynamical systems. New York: E. Horwood, 1993.

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44

The art of modeling dynamic systems: Forecasting for chaos, randomness, and determinism. New York: Wiley, 1991.

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45

Fractal physiology and chaos in medicine. Singapore: World Scientific, 2000.

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46

Sakata, F. Nuclear collective dynamics and chaos. Tanashi, Tokyo, Japan: Institute for Nuclear Study, University of Tokyo, 1992.

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47

1937-, Krysʹko V. A., ed. Chaos in structural mechanics. Berlin: Springer, 2008.

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48

West, Bruce J. Fractal physiology and chaos in medicine. Singapore: World Scientific, 1990.

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49

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

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50

Chaotic Modeling and Simulation: Analysis of Chaotic Models, Attractors and Forms. Chapman & Hall/CRC, 2008.

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