Research and innovation and the COVID-19 pandemic

The COVID-19 crisis is unprecedented. It has disrupted our lives, economy and society and the world has been struggling to contain the pandemic. While research and innovation (R&I) are at the core of the response to the pandemic itself in the areas … Read More

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Causes of Death in Medical Practice – Guide to Thanatogenesis in the COVID-19 Disease

Establishing the causes of death is one of the least addressed aspects in the medical literature both in of clinical practice and in the prosectural, anatomopathological or forensics fields. While, at first sight, the physio-pathological processes leading to death are … Read More

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Blockchain Design and Modelling

Blockchain Design and ModellingOntology engineering, along with semantic Web technologies, allow the semantic development and modeling of the operational flow required for blockchain design. The semantic Web, in accordance with W3C, “provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries” and can be seen as an integrator for various content, applications and information systems. The most widely used blockchain modelling system, by abstract representation, description and definition of structure, processes, information and resources, is the enterprises modelling. Enterprise modelling uses domain ontologies by model representation languages.
DOI: 10.13140/RG.2.2.19062.24642

Blockchain Design and Modelling

The distinction between falsification and refutation in the demarcation problem of Karl Popper

The distinction between falsification and refutation in the demarcation problem of Karl PopperDespite the criticism of Karl Popper’s falsifiability theory for the demarcation between science and non-science, mainly pseudo-science, this criterion is still very useful, and perfectly valid after it was perfected by Popper and his followers. Moreover, even in his original version, considered by Lakatos as “dogmatic”, Popper did not assert that this methodology is an absolute demarcation criterion: a single counter-example is not enough to falsify a theory; a theory can legitimately be saved from falsification by introducing an auxiliary hypothesis. Compared to Kuhn’s theory of revolutions, which he himself later dissociated from it transforming it into a theory of “micro-revolutions,” I consider that Popper’s demarcation methodology, along with the subsequent development proposed by him, including the corroboration and the verisimilitude, though imperfect, is not only valid today, but it is still the best demarcation methodology. For argumentation, I used the main works of Popper dealing with this issue, and his main critics and supporters. After a brief presentation of Karl Popper, and an introduction to the demarcation problem and the falsification methodology, I review the main criticisms and the arguments of his supporters, emphasizing the idea that Popper has never put the sign of equality between falsification and rejection. Finally, I present my own conclusions on this issue.

Keywords: Karl Popper, falsifiability, falsification, demarcation problem, pseudo-science

CONTENTS

Abstract
Introduction
1 The demarcation problem
2 Pseudoscience
3 Falsifiability
4 Falsification and refutation
5 Extension of falsifiability
6 Criticism of falsifiability
7 Support of falsifiability
8 The current trend
Conclusions
Bibliography
Notes

DOI: 10.13140/RG.2.2.22522.54725

(28.02.2019)

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The distinction between falsification and refutation in the demarcation problem of Karl Popper