Some lessons from simulations of scientific disagreements

Synthese 198 (Suppl 25):6143-6158 (2019)
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Abstract

This paper examines lessons obtained by means of simulations in the form of agent-based models about the norms that are to guide disagreeing scientists. I focus on two types of epistemic and methodological norms: norms that guide one’s attitude towards one’s own theory, and norms that guide one’s attitude towards the opponent’s theory. Concerning I look into ABMs that have been designed to examine the context of peer disagreement. Here I challenge the conclusion that the given ABMs provide a support for the so-called Steadfast Norm, according to which one is epistemically justified in remaining steadfast in their beliefs in face of disagreeing peers. I argue that the proposed models at best provide evidence for a weaker norm, which concerns methodological steadfastness. Concerning I look into ABMs aimed at examining epistemic effects of scientific interaction. Here I argue that the models provide diverging suggestions and that the link between each ABM and the type of represented inquiry is still missing. Moreover, I examine alternative strategies of arguing in favor of the benefits of scientific interaction, relevant for contemporary discussions on scientific pluralism.

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Dunja Šešelja
Ruhr-Universität Bochum

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Exploring Scientific Inquiry via Agent-Based Modelling.Dunja Šešelja - 2021 - Perspectives on Science 29 (4):537-557.
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References found in this work

Science, Policy, and the Value-Free Ideal.Heather Douglas - 2009 - University of Pittsburgh Press.
The Fate of Knowledge.Helen E. Longino - 2001 - Princeton University Press.
Reflection and disagreement.Adam Elga - 2007 - Noûs 41 (3):478–502.
Peer disagreement and higher order evidence.Thomas Kelly - 2011 - In Alvin I. Goldman & Dennis Whitcomb, Social Epistemology: Essential Readings. New York: Oxford University Press. pp. 183--217.

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