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The disease: can we consider it as the best possible answer of our complex system?

Sara Diani

Abstract


In the present study, I examine the core concepts of the Complex Systems and of the relationship between our complex system, the environment and its agents. By using the concepts of modulation of behaviour, reorganisation, autopoiesis and heuristic learning, I show how the activity and the response of our organism to different stimuli is always the best possible one for it. I argue that the disease is not something that befalls the body, but it is rather an active and dynamic set of processes carried out by our organism. It is an answer, a response to external and internal stimuli. I suggest that the disease is the best possible answer for our organism, by relativising the "best possible answer" to these four factor: the stimulus type, the environment that surrounds the system and the stimulus, the system predisposition and the system state when it faces the stimulus. This vision could completely change our theoretical and therapeutical approach to diseases.

 


References


Barabási A-L, Gulbahce N, Loscalzo J. Network Medicine: A Network-Based Approach to Human Disease. Nature Reviews Genetics 2011; 12 (1): 56–68.

Bodenschatz E. Complex Systems. Available from: URL:

https://www.mpg.de/36885/cpt08_ComplexSystems-basetext.pdf. Accessed 2009.

Bettelli O. Modelli per Sistemi Complessi. Brescia, Italy: Starrylink, 2004.

Maturana H, Varela F. Autopoiesis and Cognition: The Realization of the Living. Dordrecht, Holland; Boston: D. Reidel Publishing Company, 1980.

Mosmann TR, Coffman RL. TH1 and TH2 Cells: Different Patterns of Lymphokine Secretion Lead to Different Functional Properties. Annual Review of Immunology 1989; 7 (1): 145–73.

Bennett CH. Dissipation, Information, Computational Complexity and the Definition of Organization. Santa Fe: Proceedings of the Founding Workshops of the Santa Fe Institute: PINES, D Ed, 1985.

Barabási AL et al. Scale‐Free and Hierarchical Structures in Complex Networks. In AIP Conference Proceedings, 2003; 661:1–16. AIP Publishing.

Prigogine I. Time, Structure, and Fluctuations. Science 1978; 201 (September): 777–85.

Prigogine I, Stengers I. La Nouvelle Alliance: Métamorphose de La Science. Paris, France: Gallimard Editor, 1979.

Maturana H, Varela F. The Tree of Knowledge: The Biological Roots of Human Understanding. Boston: Shambala, 1987.

Fukuda T, Kohno T, Shibata T. Heuristic Learning by Genetic Algorithm for Recurrent Neural Network. Proceedings of IEEE 2nd International Workshop on Emerging Technologies and Factory Automation 1993; 71–77.

Satinover J. The Quantum Brain: The Search for Freedom and the Next Generation of Man. New York: John Wiley & Sons Inc, 2002.

Monod J. Chance and Necessity: An Essay on the Natural Philosophy of Modern Biology. London: Penguin, 1997.

Saborido C, Moreno A. Biological Pathology from an Organizational Perspective. Theoretical Medicine and Bioethics 2015; 36 (1): 83–95.

Wachbroit R. Normality as a Biological Concept. Philosophy of Science 1994; 61 (4): 579–91.

Sedgwick P. Psycho Politics: Laing, Foucault, Goffman, Szasz, and the Future of Mass Psychiatry. New York: Harper & Row, 1982.

Margolis J. The Concept of Disease. Journal of Medicine and Philosophy 1976; 1 (3): 238–55.

Engelhardt T. The Foundations of Bioethics. New York: Oxford University Press, 1986.

Goosens WK. Values, Health, and Medicine. Philosophy of Science 1980; 47 (1): 100–115.

Reznek L. The Nature of Disease. London: Routledge and Kegan Paul, 1987.

Caplan AL. If Gene Therapy Is the Cure, What Is the Disease? In: Gene Mapping (pp. 128–41), G. Annas and S. Elias (eds.). Oxford: Oxford University Press, 1992.

Wakefield JC. The Concept of Mental Disorder. On the Boundary between Biological Facts and Social Values. The American Psychologist 1992; 47 (3): 373–88.

Ereshefsky M. Defining ‘Health’ and ‘Disease.’ Studies in History and Philosophy of Biological and Biomedical Sciences 2009; 40 (3): 221–27.

Harvey L, et al. Molecular Cell Biology. 5th ed. New York: W. H. Freeman, 2000.

Wu S, Powers S, Zhu W, Hannun YA. Substantial Contribution of Extrinsic Risk Factors to Cancer Development. Nature 2016; 529 (7584): 43–47.

Anderson PW. More Is Different. Science 1972; 177 (4047): 393–96.


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