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Current Trends in Philosophy of ScienceWhatever Happened to the Logic of Discovery? From Transparent Logic to Alien Reasoning

Current Trends in Philosophy of Science: Whatever Happened to the Logic of Discovery? From... [Can recent developments in deep, artificial neural networks (ANNs), machine speed, and Big Data revolutionize scientific discovery across many fields? Sections 5.1 and 5.2 investigate the claim that deep learning fueled by Big Data is providing a methodological revolution across the sciences, one that overturns traditional methodologies. Sections 5.3 and 5.4 address the challenges of alien reasoning and the black-box problem for these novel computational methods. Section 5.5 briefly considers several responses to the problem of achieving “explainable AI” (XAI). Section 5.6 summarizes my present position. If we are at a major turning point in scientific research, it is not the one initially advertised. The alleged revolution is also self-limiting in important ways.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Current Trends in Philosophy of ScienceWhatever Happened to the Logic of Discovery? From Transparent Logic to Alien Reasoning

Part of the Synthese Library Book Series (volume 462)
Editors: Gonzalez, Wenceslao J.
Nickles, Thomas
Current Trends in Philosophy of Science — Jul 26, 2022
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21 pages

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-01314-0
Pages
81 –102
DOI
10.1007/978-3-031-01315-7_5
Publisher site
See Chapter on Publisher Site

Abstract

[Can recent developments in deep, artificial neural networks (ANNs), machine speed, and Big Data revolutionize scientific discovery across many fields? Sections 5.1 and 5.2 investigate the claim that deep learning fueled by Big Data is providing a methodological revolution across the sciences, one that overturns traditional methodologies. Sections 5.3 and 5.4 address the challenges of alien reasoning and the black-box problem for these novel computational methods. Section 5.5 briefly considers several responses to the problem of achieving “explainable AI” (XAI). Section 5.6 summarizes my present position. If we are at a major turning point in scientific research, it is not the one initially advertised. The alleged revolution is also self-limiting in important ways.]

Published: Jul 26, 2022

Keywords: Deep learning; Artificial neural networks; Big Data; Scientific revolution; Alien reasoning; Black-box problem; Explainable AI

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