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  1. Inference to the Best Contradiction?Sam Baron - forthcoming - British Journal for the Philosophy of Science.
    I argue that there is nothing about the structure of inference to the best explanation (IBE) that prevents it from establishing a contradiction in general, though there are some potential limitations on when it can be used for this purpose. Studying the relationship between IBE and contradictions is worthwhile for three reasons. First, it enhances our understanding of IBE. We see that, in many cases, IBE does not require explanations to be consistent, though there are some cases where consistency may (...)
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  • A Methodological Shift in Favor of (Some) Paraconsistency in the Sciences.María del Rosario Martínez-Ordaz - 2022 - Logica Universalis 16 (1):335-354.
    Many have contended that non-classical logicians have failed at providing evidence of paraconsistent logics being applicable in cases of inconsistency toleration in the sciences. With this in mind, my main concern here is methodological. I aim at addressing the question of how should we study and explain cases of inconsistent science, using paraconsistent tools, without ruining into the most common methodological mistakes. My response is divided into two main parts: first, I provide some methodological guidance on how to approach cases (...)
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  • Applying unrigorous mathematics: Heaviside's operational calculus.Colin McCullough-Benner - 2022 - Studies in History and Philosophy of Science Part A 91 (C):113-124.
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  • Handling Inconsistencies in the Early Calculus: An Adaptive Logic for the Design of Chunk and Permeate Structures.Jesse Heyninck, Peter Verdée & Albrecht Heeffer - 2018 - Journal of Philosophical Logic 47 (3):481-511.
    The early calculus is a popular example of an inconsistent but fruitful scientific theory. This paper is concerned with the formalisation of reasoning processes based on this inconsistent theory. First it is shown how a formal reconstruction in terms of a sub-classical negation leads to triviality. This is followed by the evaluation of the chunk and permeate mechanism proposed by Brown and Priest in, 379–388, 2004) to obtain a non-trivial formalisation of the early infinitesimal calculus. Different shortcomings of this application (...)
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  • Studying Controversies: Unification, Contradiction, Integration.Stefan Petkov - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (1):103-128.
    My aim here is to show that approximate truth as a paraconsistent notion can be successfully incorporated into the analysis of scientific unification, thus advancing towards a more realistic representation of theory development that takes into account the controversies that often loom alongside the progress of research programmes. I support my analysis with a case study of the recent debate in ecology centred around the existence of the paradox of enrichment and the controversy between ecological models of predation that employ (...)
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  • Modular Semantics for Theories: An Approach to Paraconsistent Reasoning.Holger Andreas - 2018 - Journal of Philosophical Logic 47 (5):877-912.
    Some scientific theories are inconsistent, yet non-trivial and meaningful. How is that possible? The present paper aims to show that we can analyse the inferential use of such theories in terms of consistent compositions of the applications of universal axioms. This technique will be represented by a preferred models semantics, which allows us to accept the instances of universal axioms selectively. For such a semantics to be developed, the framework of partial structures by da Costa and French will be extended (...)
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  • Paraconsistency, Pluralistic Models and Reasoning in Climate Science.Bryson Brown - 2017 - Humana Mente 10 (32):179-194.
    Scientific inquiry is typically focused on particular questions about particular objects and properties. This leads to a multiplicity of models which, even when they draw on a single, consistent body of concepts and principles, often employ different methods and assumptions to model different systems. Pluralists have remarked on how scientists draw on different assumptions to model different systems, different aspects of systems and systems under different conditions and defended the value of distinct, incompatible models within science at any given time. (...)
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