The E-truth. Changes in the Perception of Truth under the Impact of Cyberspace
DOI:
https://doi.org/10.18662/brain/12.2/203Keywords:
e-truth, e-positivism, post-truth, cyberspace, COVID- 19Abstract
The changes regarding the perception of reality under the impact of the development of information technologies also determined the conceptual rethinking of the truth. In this article we briefly follow the limits of the epistemic integration of the cyberspace, the need to develop new methodological perspectives and introduce a new concept of synthesis: the e-truth. It is viewed from the perspective of seeking truth in relation to data processing, computational simulation, AI and VR development. This research must be performed from the perspective of the epistemic-ontic correspondence using a positivist methodology correlated to the cyberspace (e-positivism). Finally, we briefly review the construction of the e-truth within the context of the pandemic caused by Covid 19.
References
Barnes, J. (eds.), (1995). The complete works of Aristotle. Princeton University Press.
Boghossian, P. (2006). Fear of knowledge: Against relativism and constructivism. Oxford University Press.
Botezatu, P. (1981). Dimensiunile adevărului [The Dimensions of Truth]. In P. Botezatu, (ed.). Adevăruri despre adevăr [Truths about truth] (pp.3-48). Junimea Publishing House.
Durán, J. M., & Formanek, N. (2018). Grounds for trust: Essential epistemic opacity and computational reliabilism. Minds and Machines, 28(4), 645-666. https://doi.org/10.1007/s11023-018-9481-6
Engel, P. (2019). Les vices du savoir. Essai d’éthique intellectuelle. Agone.
Herzberger, H.G. (1975). Dimensions of truth. In D. Hockney, W. Harper, B. Freeds, Contemporary Research in Philosophical Logic and Linguistic Semantics (pp. 71-92). Springer .
Horwich, P. (2010). Truth – Meaning – Reality. Oxford University Press.
Kermit S., Th. (1966). John Buridan: Sophisms on Meaning and Truth. Meredith Publishing Company.
Mainzer, K. (2020). Artificial intelligence – When do machines take over? Springer.
McIntyre, L. (2018). Post-Truth. Massachusetts Institute of Technology.
Morrison, M. (2015). Reconstructing Reality: Models, Mathematics, and Simulations. Oup Usa.
Primiero, G. (2014). On the ontology of the computing process and the epistemology of the computed. Philosophy and Technology, 27(3), 485-489. https://doi.org/10.1007/s13347-014-0174-7
Rescher, N. (2018). Understanding reality metaphysics in epistemological perspective. Lexington Books.
Symons, J., & Alvarado, R. (2016). Can we trust Big Data? Applying philosophy of science to software. Big Data and Society,3(2). https://doi.org/10.1177/2053951716664747
Symons, J., & Alvarado, R. (2019). Epistemic Entitlements and the Practice of Computer Simulation. Minds and Machines, 29(1), 37-60. https://doi.org/10.1007/s11023-018-9487-0
Tarski, A. (1944). The Semantic Conception of Truth: and the Foundations of Semantics. Philosophy and Phenomenological Research, 3(4), 341–376. https://www.jstor.org/stable/2102968
Tom Dieck, M. C., Jung, T. H. & Loureiro, S. M. C. (Eds.), (2021). Augmented reality and virtual reality. New trends in immersive technology. Springer.
Weisberg, M. (2013). Simulation and similarity: Using models to understand the world. Oxford University Press.
Winsberg, E. B. (2010). Science in the age of computer simulation. University of Chicago Press.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 The Authors & LUMEN Publishing House
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant this journal right of first publication, with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work, with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g. post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as an earlier and greater citation of published work (See The Effect of Open Access).
BRAIN. Broad Research in Artificial Intelligence and Neuroscience Journal has an Attribution-NonCommercial-NoDerivs
CC BY-NC-ND