نوع مقاله : مقاله علمی- پژوهشی
نویسندگان
1 دانشجوی دکترای عاوم کامپیوتر، دانشگاه تبریز، تبریز، ایران
2 استادیار گروه علوم کامپیوتر، دانشگاه تبریز، تبریز، ایران
3 استاد بازنشسته گروه علوم کامپیوتر، دانشگاه تبریز، تبریز، ایران
چکیده
Reduction is a concept first introduced by Descartes in explaining his view of the rationalization of philosophy through mathematics. He seeks to consider length, breadth, and depth for phenomena so that reducing the phenomenon to his own analytical geometric apparatus; thus shrinking the whole world into a small machine. In the present study, the authors took into account the deficiency in defining the reduction of phenomena to a mathematically sound system as the reason for a large group of problems and therefore they came to redefine the Cartesian reductionism of phenomena by removing the search space through a learning system. In due definition, it is possible to reduce the NP problems to P space without using a quantum algorithm that requires a quantum computer to exist. The present study points out that the problems arising from the mathematical modeling of the Covid-19 pandemic are due to a deficiency in the definition of Cartesian reduction, which leads to an increase in the computational complexity of its diagnosis and treatment using computational tools.
کلیدواژهها
موضوعات
عنوان مقاله [English]
Redefining Cartesian Reductionism in Biological Issues with Big Data, such as COVID-19 Worldwide Pandemic, Using Formalism based on the Intermediate Attitude of Rationalism and Empiricism
نویسندگان [English]
- Mohammad Boudaghi 1
- Farnaz Mahan 2
- Ayaz Isazadeh 3
1 Ph.D candidate in Computer Science Department, University of Tabriz, Tabriz, Iran
2 Assistant professor of Computer Science Department, University of Tabriz, Tabriz, Iran
3 Emeritus Professor of Computer Science Department, University of Tabriz, Tabriz, Iran
چکیده [English]
Reduction is a concept first introduced by Descartes in explaining his view of the rationalization of philosophy through mathematics. He seeks to consider length, breadth, and depth for phenomena so that reducing the phenomenon to his own analytical geometric apparatus; thus shrinking the whole world into a small machine. In the present study, the authors took into account the deficiency in defining the reduction of phenomena to a mathematically sound system as the reason for a large group of problems and therefore they came to redefine the Cartesian reductionism of phenomena by removing the search space through a learning system. In due definition, it is possible to reduce the NP problems to P space without using a quantum algorithm that requires a quantum computer to exist. The present study points out that the problems arising from the mathematical modeling of the Covid-19 pandemic are due to a deficiency in the definition of Cartesian reduction, which leads to an increase in the computational complexity of its diagnosis and treatment using computational tools.
کلیدواژهها [English]
- Computational Complexity
- Reduction
- Phenomenology of Biological Phenomena
- Hilbert's Formalism
- Cohen, E. D. (1984) "Reason and Experience in Locke’s Epistemology" Philosophy and Phenomenological Research, 45(1), 71–85. https://doi.org/10.2307/2107327
- Detlefsen M. (1986). The Philosophical Fundamentals of Hilbert’s Program. In: Hilbert’s Program. Synthese Library (Studies in Epistemology, Logic, ethodology, and Philosophy of Science), vol 182.p1-44 Springer, Dordrecht.
- Duschinsky, R. (2012). “Tabula Rasa” and Human Nature. Philosophy, 87(342), 509–529. http://www.jstor.org/stable/41682980
- Dilworth, C. (1990). "Empricism vs Realism: the High Points in the Debate During the Past 150 Years. Stud. Hist. Phil. Sci, 21, N0. 3, 431-462.
- Grosholz, Emily R. (1991). Cartesian Method and the Problem of Reduction. Oxford University Press. pp, 1-14.
- Kennedy, J. (2018). Kurt Gödel and the mechanization of mathematics. Times Literary Supplement: The leading international weekly for literary culture.
- Kolekar, P. &.-K. (2011). Molecular Evolution & Phylogeny: What, When, Why & How?. Computational Biology and Applied Bioinformatics , 10.13140/2.1.4929.6322.
- Kwiatkowska, M., & Thachuk, C. (2014). Probabilistic model checking for biology. In Software Systems Safety (pp. 165-189). IOS Press.
- Lucas, J. (1996). Minds, machines and Gödel: A retrospect, Machines and thought : The legacy of Alan Turing. (P. Milican, & A. Clark, Eds.) Oxford University Press.pp,24-103
- Mamta Rani, V. K. (2004). Superior Mandelbrot Set. Journal of the Korea Society of Matchematical Education SERIES d, 279-291.
- Mitchell, M. (2009). Complexity: A Guided Tour. Oxford University Press. pp,1-94.
- Newton, I. (1687). Philosophiae naturalis principia mathematica. Jussu Societatis Regiae ac Typis Josephi Streater. Prostat apud plures bibliopolas. Retrieved from https://doi.org/10.5479/sil.52126.39088015628399
- Organization (WHO), W. H. (2020). Novel Coronavirus(2019-nCoV) Situation Report. World Health Organization: https://www.who.int/docs/default-source/coronaviruse
- Rockmore, Tom, (1995) Heidgger and French philosophy, New York, Routledge.
- Sievert, D. (1975). Descartes’s Self-Doubt. The Philosophical Review, 84(1), 51–69. https://doi.org/10.2307/2184080
- Sipser, M. (1996). Introduction to the Theory of Computation. ACM Sigact News, 27(1), 27-29.
- Skiena, S. S. (2012). The Algorithm Design Manual. New York: Springer.pp,3-30.
- Tavakoli, A., Vahdat, K., & Keshavarz, M. (2020). Novel coronavirus disease 2019 (COVID-19): an emerging infectious disease in the 21st century. ISMJ, 22(6), 432-450. (in Persian )
- Weinberg, S. (2001). Reductionism Redux. New York Review of Books.
- William J. Cook, W. H. (1998). Compbinational Optimazation. New Yourk: A Wiley -Interscience Publication.pp,1-8.
- Zahavi, D. (2003). Husserl's phenomenology. Stanford University Press.
ارسال نظر در مورد این مقاله