Modelos sin target

Cassini, Alejandro

doi:10.14201/art201872185209

Cited by 3 publications

(1 citation statement)

References 9 publications

(9 reference statements)

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“…Finally, we would like to point out that a consequence of this view on the modeling of ontologically uncertain phenomena is that it should be considered separately from the target system (cf. Cassini, 2018). We believe that while the former is a part of the phenomena and could be absent as proposed by the model, the latter, the target system, can be considered as a hypothetical complement that is elaborated at the same time with the model.…”

Section: Discussionmentioning

confidence: 93%

A free dialogical logic for surrogate reasoning: generation of hypothesis without ontological commitments

Redmond

2021

THEORIA

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This article aims to present a Free Dialogic Logic [FDL] as a general framework for hypothesis generation in the practice of modelling in science. Our proposal is based on the idea that the inferential function that models fulfil during the modelling process (surrogate reasoning) should be carried out without ontological commitments. The starting point to achieve our objective is that the scientific consideration of models without a target is a symptom that, on the one hand, the Applicability of Logic should be considered among the conditions of adequacy that should take into account all modeling process and, on the other, that the inferential apparatus at the base of the surrogate reasoning process must be rid of realistic assumptions that lead to erroneous conclusions. In this sense, we propose as an alternative an ontologically neutral inferential system in the perspective of dialogical pragmatism.

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Section: Discussionmentioning

confidence: 93%

A free dialogical logic for surrogate reasoning: generation of hypothesis without ontological commitments

Redmond

2021

THEORIA

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Introduction: Theories, Models, and Scientific Representations

Cassini

Redmond

2021

Logic, Epistemology, and the Unity of Science

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Technology-driven surrogates and the perils of epistemic misalignment: an analysis in contemporary microbiome science

Suárez

Boem

2022

Synthese

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A general view in philosophy of science says that the appropriateness of an object to act as a surrogate depends on the user’s decision to utilize it as such. This paper challenges this claim by examining the role of surrogative reasoning in high-throughput sequencing technologies (technology-driven surrogates) as they are used in contemporary microbiome science. Drawing on this, we argue that, in technology-driven surrogates, knowledge about the type of inference practically permitted and epistemically justified by the surrogate constrains their use and thus puts a limit to the user’s intentions to use any object as a surrogate for what they please. Ignoring this leads to a serious epistemic misalignment, which ultimately prevents surrogative reasoning. Thus, we conclude that knowledge about the type of surrogate reasoning that the technologies being used allow is fundamental to avoid misinterpreting the consequences of the data obtained with them, the hypothesis this data supports, and what these technologies are surrogates of.

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Modelos sin target

Cited by 3 publications

References 9 publications

A free dialogical logic for surrogate reasoning: generation of hypothesis without ontological commitments

A free dialogical logic for surrogate reasoning: generation of hypothesis without ontological commitments

Introduction: Theories, Models, and Scientific Representations

Technology-driven surrogates and the perils of epistemic misalignment: an analysis in contemporary microbiome science

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