Research ArticleOpen AccessGoogle Scholar indexed
On Knowledge: Proposing a Knowing-Understanding Dialectic in the Context of Finding More Cohesive Epistemic Approaches of Truth
The National Institute for Research and Developmen in Informatics, Bucharest-ICI Bucharest, Bucharest, Romania
- 1 The National Institute for Research and Developmen in Informatics, Bucharest-ICI Bucharest, Bucharest, Romania
Open Journal of Philosophy·Volume 14 (2024)·Pages 556–569·Published 24 June 2024·DOI10.4236/ojpp.2024.143036
Copy link · social · email
Abstract
Given the high advances done in the scientific field, especially with regard to the quantum fields of study, the epistemic approach to doing science changed drastically. Thus, it is reasonable and necessary to create a model of thought for explaining possible solutions. Such a solution can be understood through the implementation of a new dialectic method that is promising to a descriptive approach to how knowledge is processed and handled cognitively and what roles synthetic apriorisms and intuition play in this process.
KeywordsEpistemologyPhilosophy of SciencePhilosophy of MindCognitive SciencesPhilosophy and Physics
- Barish, B. C., & Weiss, R. (1999). LIGO and the Detection of Gravitational Waves. Physics Today, 52, 44-50. https://doi.org/10.1063/1.882861
- Bird, A. (2004). Philosophy of Science. In J. Shand (Ed.), Fundamentals of Philosophy (pp. 297-325). Routledge.
- Busch, P., Heinonen, T., & Lahti, P. (2007). Heisenberg’s Uncertainty Principle. Physics reports, 452, 155-176. https://doi.org/10.1016/j.physrep.2007.05.006
- Cohen, L. (2001). The Uncertainty Principle for the Short-Time Fourier Transform and Wavelet Transform. In L. Debnath (Ed.), Wavelet Transforms and Time-Frequency Signal Analysis (pp. 217-232). Birkhäuser. https://doi.org/10.1007/978-1-4612-0137-3_8
- de Bruijn, N. G. (1967). Uncertainty Principles in Fourier Analysis. In Inequalities: Pr o ceedings of a Symposium Held at Wright-Patterson Air Force Base (pp. 57-71). Academic Press.
- Floroiu, I., & Timisică, D. (2024). A Heideggerian Analysis of Generative Pre-Trained Transformer Models. Romanian Journal of Information Technology and Automatic Control, 34, 13-22. https://doi.org/10.33436/v34i1y202402
- Jago, M. (2018). What Truth Is. Oxford University Press. https://doi.org/10.1093/oso/9780198823810.001.0001
- Jaiswal, A., Babu, A. R., Zadeh, M. Z., Banerjee, D., & Makedon, F. (2020). A Survey on Contrastive Self-Supervised Learning. Technologies, 9, Article 2. https://doi.org/10.3390/technologies9010002
- Kant, I. (1908). Critique of Pure Reason. In R. Schacht (Ed.), Modern Classical Philos o phers (pp. 370-456). Houghton Mifflin.
- Parrini, P. (2012). Kant and Contemporary Epistemology (Vol. 54). Springer Science & Business Media.
- Russ, R. S. (2014). Epistemology of Science vs. Epistemology for Science. Science Educ a tion, 98 , 388-396. https://doi.org/10.1002/sce.21106
- Schantz, R. (2002). Volume 1 What is Truth? Walter de Gruyter. https://doi.org/10.1515/9783110886665
- Smith, D. E. (1996). Telling the Truth after Postmodernism. Symbolic Interaction, 19, 171-202. https://doi.org/10.1525/si.1996.19.3.171
- Soames, S. (1999). Understanding Truth. Oxford University Press. https://doi.org/10.1093/0195123352.001.0001
- Solomon, R. C. (1974). Hegel’s Epistemology. American Philosophical Quarterly, 11, 277-289.
- Williams, C. J. F. (1976). What Is Truth? Cambridge University Press. https://doi.org/10.1017/CBO9780511753527