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Towards the integration of semiotic and physiological dynamics: from nonlinear dynamics to quantum fields

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Selbstorganisation – ein Paradigma für die Humanwissenschaften
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Zusammenfassung

We examine the nature of semiotics and its intermingling with physiology in the embodied mind. We consider the balance between order and noise in our knowledge of the natural world. The relational dimension is explored through synchronization dynamics.

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Literatur

  • Abraham, F. D., Abraham, R., and Shaw, C. D. (1990). A visual introduction to dynamical systems theory for psychology. Santa Cruz, CA: Aerial Press.

    Google Scholar 

  • Abrams, D. M., and Strogatz, S. H. (2004). Chimera states for coupled oscillators. Physical Review Letters, 93(17), 174102.

    Google Scholar 

  • Baranger, M., and Baranger, W. (2008). The analytic situation as a dynamic field1. The International Journal of Psychoanalysis, 89(4), 795–826.

    Google Scholar 

  • Eckmann, J.-P., Kamphorst, S. O., and Ruelle, D. (1987). Recurrence plots of dynamical systems. Europhysics Letters, 4(9), 973.

    Google Scholar 

  • Feigenbaum, M. J. (1994). Riemann maps and world maps. In Trends and perspectives in applied mathematics (pp. 55–71). Springer.

    Google Scholar 

  • Freeman, Walter J. (1999). How brains make up their minds. London: Weidenfeld and Nicolson. Freeman, W.J. (2000). Mesoscopic neurodynamics: from neuron to brain. Journal of Physiology Paris, 94(5–6), 303–322.

    Google Scholar 

  • Giuliani, A., Tsuchiya, M., and Yoshikawa, K. (2018). Self-organization of genome expression from embryo to terminal cell fate: single-cell statistical mechanics of biological regulation. Entropy, 20(1), 13.

    Google Scholar 

  • Glass, L. (2001). Synchronization and rhythmic processes in physiology. Nature, 410(6825), 277–284.

    Google Scholar 

  • Hoffman, D. A., and Osserman, R. (1980). The geometry of the generalized Gauss map (Vol. 236). American Mathematical Soc.

    Google Scholar 

  • Kolmogorov, A. N. (1950). Foundations of probability theory. Chelsea, New York, 270.

    Google Scholar 

  • Koolagudi, S. G., and Rao, K. S. (2012). Emotion recognition from speech: a review. International Journal of Speech Technology, 15(2), 99–117.

    Google Scholar 

  • Kuramoto, Y., and Battogtokh, D. (2002). Coexistence of coherence and incoherence in nonlocally coupled phase oscillators. arXiv Preprint Cond-Mat/0210694.

    Google Scholar 

  • Latini, B. (1839). Il tesoro (Vol. 1). Company’ Tipi del Gondoliere.

    Google Scholar 

  • Latini, B., and Carmody, F. J. (1948). Li Livres dou Trésor… Édition critique par Francis J. Carmody. University of California Press.

    Google Scholar 

  • Lisi, A. G. (2006). Quantum mechanics from a universal action reservoir. arXiv Preprint Physics/0605068.

    Google Scholar 

  • Locke, J. (1694). An essay concerning humane understanding. London: Printed for Awnsham and J. Churchil, at the Black Swan.

    Google Scholar 

  • Lucretius Carus, T., and Diels, H. (1969). De rerum natura. Patavii: In aedibus Livianis.

    Google Scholar 

  • MacWhinney, B., and Bates, E. (1989). The Crosslinguistic study of sentence processing. Cambridge: Cambridge University Press.

    Google Scholar 

  • Manetti, C., Ceruso, M. A., Giuliani, A., Webber, C. L., and Zbilut, J. P. (1999). Recurrence quantification analysis in molecular dynamics. Annals of the New York Academy of Sciences, 879, 258–266.

    Google Scholar 

  • Marchionne, A., Ditlevsen, P., and Wieczorek, S. (2018). Synchronisation vs. resonance: Isolated resonances in damped nonlinear oscillators. Physica D: Nonlinear Phenomena, 380, 8–16.

    Google Scholar 

  • Marwan, N. (2008). A historical review of recurrence plots. The European Physical Journal Special Topics, 164(1), 3-12.

    Google Scholar 

  • Maturana, H. (2002). Autopoiesis, structural coupling and cognition: a history of these and other notions in the biology of cognition. Cybernetics and Human Knowing, 9, 3-4.

    Google Scholar 

  • Maturana, H. R., and Varela, F. J. (1980). Autopoiesis and cognition the realization of the living. Dordrecht, Holland: D. Reidel Pub. Co.

    Google Scholar 

  • Mojtahedi, M., Skupin, A., Zhou, J., Castaño, I. G., Leong-Quong, R. Y., Chang, H., … Huang, S. (2016). Cell fate decision as high-dimensional critical state transition. PLoS Biology, 14(12), e2000640.

    Google Scholar 

  • Munkhammar, J. (2011). Canonical relational quantum mechanics from information theory. arXiv Preprint arXiv:1101.1417.

    Google Scholar 

  • Nagel, E. (1961). The structure of science problems in the logic of scientific explanation. New York: Harcourt, Brace and World.

    Google Scholar 

  • Oltvai, Z. N., and Barabási, A.-L. (2002). Life’s complexity pyramid. Science, 298(5594), 763–764.

    Google Scholar 

  • Orsucci, F. F. (2006). The paradigm of complexity in clinical neurocognitive science. The Neuroscientist, 12(5), 390.

    Google Scholar 

  • Orsucci, F. F. (2016). Human dynamics: A complexity science open handbook. Nova Science Publishers, Incorporated.

    Google Scholar 

  • Orsucci, F., Giuliani, A., Webber, C., and others. (2006). Combinatorics and synchronization in natural semiotics. Physica A: Statistical Mechanics and Its Applications, 361(2), 665–676.

    Google Scholar 

  • Orsucci, F., Petrosino, R., Paoloni, G., Canestri, L., Conte, E., Reda, M. A., and Fulcheri, M. (2013). Prosody and synchronization in cognitive neuroscience. EPJ Nonlinear Biomedical Physics, 1(1), 1–11.

    Google Scholar 

  • Ott, E., Grebogi, C., and Yorke, J. A. (1990). Controlling chaotic dynamical systems. In Chaos: Soviet-American Perspective on Nonlinear Science (pp. 153–172). American Institute of Physics.

    Google Scholar 

  • Pecora, L. M., and Carroll, T. L. (1990). Synchronization in chaotic systems. Physical Review Letters, 64(8), 821–824.

    Google Scholar 

  • Peirce, C. S., Weiss, P., and Hartshorne, C. (1931). Collected papers of Charles Sanders Peirce. Cambridge: Harvard University Press.

    Google Scholar 

  • Peirce, C. S., and Welby, V. (1977). Semiotic and Significs the Correspondence Between Charles S. Peirce and Lady Victoria Welby. Retrieved from http://philpapers.org/rec/PEISAS

  • Pichon, S., and Kell, C. A. (2013). Affective and sensorimotor components of emotional prosody generation. The Journal of Neuroscience, 33(4), 1640–1650.

    Google Scholar 

  • Pikovsky, A., Rosenblum, M., and Kurths, J. (2001). Synchronization a universal concept in nonlinear sciences. Cambridge: Cambridge University Press.

    Google Scholar 

  • Przibram, K., Schrödinger, E., Planck, M., Einstein, A., Lorentz, H. A., and Klein, M. J. (1967). Letters on wave mechanics: Schrödinger, Planck, Einstein, Lorentz. New York: Philosophical Library.

    Google Scholar 

  • Repp, B. H., and Su, Y.-H. (2013). Sensorimotor synchronization: a review of recent research (2006–2012). Psychonomic Bulletin and Review, 20(3), 403–452.

    Google Scholar 

  • Rosenblueth, A., and Wiener, N. (1945). The role of models in science. Philosophy of Science, 12(4), 316–321.

    Google Scholar 

  • Rovelli, C. (2005). Relational quantum mechanics. In Quo Vadis Quantum Mechanics? (pp. 113–120). Springer.

    Google Scholar 

  • Saussure, F. de, Bally, C., Sechehaye, A., and Riedlinger, A. (1986). Course in general linguistics. LaSalle, Ill: Open Court.

    Google Scholar 

  • Semenova, N., Zakharova, A., Anishchenko, V., and Schöll, E. (2016). Coherence-resonance chimeras in a network of excitable elements. Physical Review Letters, 117, 014102.

    Google Scholar 

  • Schiepek, G., and Strunk, G. (2010). The identification of critical fluctuations and phase transitions in short term and coarse-grained time series—a method for the real-time monitoring of human change processes. Biological Cybernetics, 102(3), 197–207.

    Google Scholar 

  • Schiepek, G., Aas, B., and Viol, K. (2016). The mathematics of psychotherapy–a nonlinear model of change dynamics. Nonlinear Dynamics in Psychology and Life Sciences, 20, 369–399.

    Google Scholar 

  • Schiepek, G., Aichhorn, W., and Schöller, H. (2017). Monitoring change dynamcis – A nonlinear Approach to psychotherapy and feedback. Chaos and Complexity Letters, 11(3), 355–375.

    Google Scholar 

  • Schreiber, T. (1999). Interdisciplinary application of nonlinear time series methods. Physics Reports, 308(1), 1–64.

    Google Scholar 

  • Shockley, K., Richardson, D. C., and Dale, R. (2009). Conversation and coordinative structures. Topics in Cognitive Science, 1(2), 305–319.

    Google Scholar 

  • Simonotto, E., Riani, M., Seife, C., Roberts, M., Twitty, J., and Moss, F. (1997). Visual Perception of Stochastic Resonance. Physical Review Letters, 78(6).

    Google Scholar 

  • Simpson, J. A., Weiner, E. S. C., and Oxford University Press. (1989). The Oxford English dictionary. Oxford: Clarendon.

    Google Scholar 

  • Stern, D. N. (2004). The present moment in psychotherapy and everyday life. New York: W.W. Norton.

    Google Scholar 

  • Stern, D. N, Bruschweiler-Stern, N., Harrison, A. M., Lyons-Ruth, K., Morgan, A. C., Nahum, J. P., … Tronick, E. Z. (1998). The process of therapeutic change involving implicit knowledge: Some implications of developmental observations for adult psychotherapy. Infant Mental Health Journal, 19(3), 300–308.

    Google Scholar 

  • Strogatz, S. H. (2003). Sync the emerging science of spontaneous order. New York: Hyperion.

    Google Scholar 

  • Tschacher, W., Haken, H., and Kyselo, M. (2015). Empirical and structural approaches to the temporality of alliance in psychotherapy. Chaos and Complexity Letters, 9(2), 177.

    Google Scholar 

  • Van Fraassen, B. C. (2010). Rovelli’s world. Foundations of Physics, 40(4), 390–417.

    Google Scholar 

  • Wiener, N. (1950). Cybernetics or Control and Communication in the Animal and the Machine. New York, 1948. Dt. Übersetzung: Econ-Verlag.

    Google Scholar 

  • Willmore, T. J. (1993). Riemannian geometry (Vol. 33). Oxford: Clarendon Press.

    Google Scholar 

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Correspondence to Franco F. Orsucci .

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Orsucci, F.F. (2020). Towards the integration of semiotic and physiological dynamics: from nonlinear dynamics to quantum fields. In: Viol, K., Schöller, H., Aichhorn, W. (eds) Selbstorganisation – ein Paradigma für die Humanwissenschaften. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-29906-4_10

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  • DOI: https://doi.org/10.1007/978-3-658-29906-4_10

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