Journals / Bozok Sosyal Bilimler Dergisi / 2023 / Cilt: 1 Sayı: 1

The Impossibility of Induction and Some Solutions to Its Problems

Tümevarımın İmkansızlığı ve Sorunlarına Bazı Çözümler

Pages
95–109
Publication Date
2023-05-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By comparing these approaches while recognizing their respective limitations the paper underlines the need to employ a multiplicity of methods when dealing with inductive reasoning while also adding to ongoing philosophical debates concerning the epistemological roots of science.

📌 3 Key Takeaways

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Objective & Hypothesis:This study delves into an age old challenge known as the Problem of Induction that arose from David Humes critique.
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Key Findings & Data:Our investigation includes examining Bayes' theorems implications for judgment under uncertainty through its probabilistic framework updates; Scientific Realism purports that our most sound theories accurately represent objective reality while Falsificationism demarcates hypotheses based on whether they are susceptible or immune from empirical contradiction testing.
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Conclusion & Impact:By comparing these approaches while recognizing their respective limitations the paper underlines the need to employ a multiplicity of methods when dealing with inductive reasoning while also adding to ongoing philosophical debates concerning the epistemological roots of science.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hume’un Problemi · Tümevarım Mantığı · Bayesyen Çıkarım

Abstract

This study delves into an age old challenge known as the Problem of Induction that arose from David Humes critique. The paper explores different approaches for conducting reliable scientific inquiry while tackling issues surrounding inductive reasoning. Our investigation includes examining Bayes' theorems implications for judgment under uncertainty through its probabilistic framework updates; Scientific Realism purports that our most sound theories accurately represent objective reality while Falsificationism demarcates hypotheses based on whether they are susceptible or immune from empirical contradiction testing. By comparing these approaches while recognizing their respective limitations the paper underlines the need to employ a multiplicity of methods when dealing with inductive reasoning while also adding to ongoing philosophical debates concerning the epistemological roots of science.

Özet

Bu çalışma, David Humes'in eleştirisiyle ortaya çıkan ve Tümevarım Problemi olarak bilinen eski bir sorunu incelemektedir. Makale, tümevarımsal akıl yürütmeyi çevreleyen sorunları ele alırken güvenilir bilimsel araştırma yürütmek için farklı yaklaşımları araştırmaktadır. Araştırmamız, Bayes'in teoremlerinin olasılıksal çerçeve güncellemeleri yoluyla belirsizlik altında yargıda bulunmaya yönelik çıkarımlarını incelemeyi içermektedir; Bilimsel Gerçekçilik, en sağlam teorilerimizin nesnel gerçekliği doğru bir şekilde temsil ettiğini iddia ederken, Yanlışlamacılık hipotezleri ampirik çelişki testine duyarlı veya bağışık olup olmadıklarına göre ayırır. Bu yaklaşımları kendi sınırlılıklarını kabul ederek karşılaştıran bu makale, tümevarımsal akıl yürütme ile uğraşırken çok sayıda yöntem kullanma ihtiyacının altını çizerken, bilimin epistemolojik kökenlerine ilişkin süregelen felsefi tartışmalara da katkıda bulunmaktadır

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Cite This Article

YILMAZ, F. (2023). The Impossibility of Induction and Some Solutions to Its Problems. Bozok Sosyal Bilimler Dergisi, Cilt: 1 Sayı: 1, 95–109. https://ajindex.com/articles/976530

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References (18)

  1. Berger, James O. "The Case for Objective Bayesian Analysis". Bayesian Analysis 1/3 (2006): 385-402.
  2. Bishop, Christopher M. Pattern Recognition and Machine Learning. New York: Springer, 2006, 409-430.
  3. Boyd, Richard N. "How to Be a Moral Realist". In Essays on Moral Realism. Edited by Geoffrey Sayre-McCord, Ithaca: Cornell University Press, 1988, 181-228.
  4. Chakravartty, Anjan. "Scientific Realism". In The Stanford Encyclopedia of Philosophy, edited by Edward N. Zalta, Winter 2020 Edition. Stanford: Stanford University, 2020.
  5. Chakravartty, Anjan. A Metaphysics for Scientific Realism: Knowing the Unobservable. Cambridge: Cambridge University Press, 2007.
  6. Chalmers, Alan F. What is This Thing Called Science? 4th ed., Hackett Publishing Company, Inc., 2013.
  7. Dyson, Frank W. Arthur S. Eddington, and Charles R. Davidson. "A Determination of the Deflection of Light by the Sun's Gravitational Field, from Observations Made at the Total Eclipse of May 29, 1919." Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character 220. 1920. 291-333.
  8. Galison, Peter. Image and Logic: A Material Culture of Microphysics. Chicago: University of Chicago Press, 1997, 1-2.
  9. Gelman, Andrew, et al. Bayesian Data Analysis. 3rd ed. Boca Raton: CRC Press, 2013.
  10. Giere, Ronald N. Scientific Perspectivism. The University of Chicago Press, 2006.
  11. Godfrey-Smith, Peter. Theory and Reality: An Introduction to the Philosophy of Science. Chicago: The University of Chicago Press, 2003.
  12. Gregory, Philip C. Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support. Cambridge: Cambridge University Press, 2005.
  13. Hacking, Ian. Representing and Intervening: Introductory Topics in the Philosophy of Natural Science. Cambridge: Cambridge University Press, 1983.
  14. Hempel, Carl G. Aspects of Scientific Explanation and Other Essays in the Philosophy of Science. New York: The Free Press, 1965.
  15. Howson, Colin, and Peter Urbach. Bayesian Reasoning in Science. Nature, vol. 320, no. 6062, 1986.
  16. Howson, Colin, and Peter Urbach. Scientific Reasoning: The Bayesian Approach. 3rd ed. Chicago: Open Court, 2006.
  17. Huelsenbeck, John P. and Fredrik Ronquist. "Bayesian Analysis of Molecular Evolution Using MrBayes." In Statistical Methods in Molecular Evolution, edited by Rasmus Nielsen, 183-226. New York: Springer, 2005.
  18. Hume, David. A Treatise of Human Nature. Ed. L.A. Selby-Bigge. Oxford: Clarendon Press, 1739/1978. Hume,