Evaluating competing theories via a common language of qualitative verdicts

Synthese 193 (10) (2016)
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Abstract

Kuhn claimed that several algorithms can be defended to select the best theory based on epistemic values such as simplicity, accuracy, and fruitfulness. In a recent paper, Okasha :83–115, 2011) argued that no theory choice algorithm exists which satisfies a set of intuitively compelling conditions that Arrow had proposed for a consistent aggregation of individual preference orderings. In this paper, we put forward a solution to avoid this impossibility result. Based on previous work by Gaertner and Xu, we suggest to view the theory choice problem in a cardinal context and to use a general scoring function defined over a set of qualitative verdicts for every epistemic value. This aggregation method yields a complete and transitive ranking and the rule satisfies all Arrovian conditions appropriately reformulated within a cardinal setting. We also propose methods that capture the aggregation across different scientists

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Wulf Gaertner
London School of Economics

Citations of this work

Structural Indeterminacy.Alessandro Torza - 2020 - Philosophy and Phenomenological Research 101 (2):365-382.
On Rationales for Cognitive Values in the Assessment of Scientific Representations.Gertrude Hirsch Hadorn - 2018 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 49 (3):319-331.

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