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Related papers: Popper, Kuhn, Lakatos and Aim-Oriented Empiricism

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For four decades it has been argued that we need to adopt a new conception of science called aim-oriented empiricism. This has far-reaching implications and repercussions for science, the philosophy of science, academic inquiry in general,…

History and Philosophy of Physics · Physics 2015-09-03 Nicholas Maxwell

The classical conception of falsification presents scientific theories as entities that are decisively refuted when their predictions fail. This picture has long been challenged by both philosophical analysis and scientific practice, yet…

Other Statistics · Statistics 2025-12-09 Tommaso Costa

It is mostly agreed that Popper's criterion of falsifiability fails to provide a useful demarcation between science and pseudo-science, because ad-hoc assumptions are always able to save any theory that conflicts with the empirical data…

History and Philosophy of Physics · Physics 2016-04-26 Luigi Scorzato

Darwiche and Pearl's seminal 1997 article outlined a number of baseline principles for a logic of iterated belief revision. These principles, the DP postulates, have been supplemented in a number of alternative ways. Most of the suggestions…

Artificial Intelligence · Computer Science 2018-07-27 Richard Booth , Jake Chandler

This paper offers a critique of the Bayesian interpretation of quantum mechanics with particular focus on a paper by Caves, Fuchs, and Schack containing a critique of the "objective preparations view" or OPV. It also aims to carry the…

Quantum Physics · Physics 2009-02-04 Ulrich Mohrhoff

The area of computation called artificial intelligence (AI) is falsified by describing a previous 1972 falsification of AI by British mathematical physicist James Lighthill. How Lighthill's arguments continue to apply to current AI is…

Artificial Intelligence · Computer Science 2020-05-04 Steven Meyer

Drawing on Ullmann-Margalit's concept of opting (transformative, irrevocable, and shadowed by foreclosed alternatives), we show that current AI systems raise a profound ethical problem that existing AI ethics has not fully captured: the…

Artificial Intelligence · Computer Science 2026-05-28 Eugene Yu Ji

In this paper we analyze the definition of quantum superpositions within orthodox Quantum Mechanics (QM) and their relation to physical reality. We will begin by discussing how the metaphysical presuppositions imposed by Bohr on the…

Quantum Physics · Physics 2015-02-19 Christian de Ronde

Assessing the effects of a policy based on observational data from a different policy is a common problem across several high-stake decision-making domains, and several off-policy evaluation (OPE) techniques have been proposed. However,…

Machine Learning · Computer Science 2022-01-21 Sonali Parbhoo , Shalmali Joshi , Finale Doshi-Velez

According to Karl Popper assumptions are statements used to construct theories. During the construction of a theory whether the assumptions are either true or false turn out to be irrelevant in view of the fact that, actually, they gain…

Classical Physics · Physics 2014-12-09 Israel Perez

In [7] the authors of this paper argued in favor of the possibility to consider a Paraconsistent Approach to Quantum Superpositions (PAQS). We claimed that, even though most interpretations of quantum mechanics (QM) attempt to escape…

Quantum Physics · Physics 2015-07-13 Newton da Costa , Christian de Ronde

In this essay, I argue that modern science is not the dichotomous pairing of theory and experiment that it is typically presented as, and I offer an alternative paradigm defined by its functions as a human endeavor. I also demonstrate how…

History and Philosophy of Physics · Physics 2018-05-24 Ian T. Durham

It is recognised that the Bayesian approach to inference can not adequately cope with all the types of pre-data beliefs about population quantities of interest that are commonly held in practice. In particular, it generally encounters…

Methodology · Statistics 2021-04-16 Russell J. Bowater

Hypotheses are central to information acquisition, decision-making, and discovery. However, many real-world hypotheses are abstract, high-level statements that are difficult to validate directly. This challenge is further intensified by the…

Machine Learning · Computer Science 2025-02-17 Kexin Huang , Ying Jin , Ryan Li , Michael Y. Li , Emmanuel Candès , Jure Leskovec

Naturalness is an extra-empirical quality that aims to assess plausibility of a theory. Finetuning measures are often deputized to quantify the task. However, knowing statistical distributions on parameters appears necessary. Such…

History and Philosophy of Physics · Physics 2018-11-14 James D. Wells

This paper explores the concept of "entropy of knowledge" (EoN) as a framework for understanding the challenges and complexities of scientific discovery. Drawing from principles in thermodynamics and information theory, I propose that the…

Physics and Society · Physics 2024-06-05 Babu George

The role of probability appears unchallenged as the key measure of uncertainty, used among other things for practical induction in the empirical sciences. Yet, Popper was emphatic in his rejection of inductive probability and of the logical…

Other Statistics · Statistics 2021-08-04 Youngjo Lee , Yudi Pawitan

Karl Popper proposed a way to test whether a proposed relation of a quantum-mechanical state to perceived reality in the Copenhagen interpretation (CI) of quantum mechanics - namely that the state of a particle is merely an expression of…

Quantum Physics · Physics 2007-05-23 R. Plaga

In (da Costa and de Ronde, 2014), Newton da Costa together with the author of this paper argued in favor of the possibility to consider quantum superpositions in terms of a paraconsistent approach. We claimed that, even though most…

Quantum Physics · Physics 2015-02-19 Christian de Ronde

When should we defer to AI outputs over human expert judgment? Drawing on recent work in social epistemology, I motivate the idea that some AI systems qualify as Artificial Epistemic Authorities (AEAs) due to their demonstrated reliability…

Artificial Intelligence · Computer Science 2025-10-27 Benjamin Lange
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