Philosophy of Science 84 (2):234-252 (2017)

Authors
Justin Bruner
University of Arizona
Abstract
We show that previous results from epistemic network models showing the benefits of decreased connectivity in epistemic networks are not robust across changes in parameter values. Our findings motivate discussion about whether and how such models can inform real-world epistemic communities. As we argue, only robust results from epistemic network models should be used to generate advice for the real-world, and, in particular, decreasing connectivity is a robustly poor recommendation.
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DOI 10.1086/690717
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References found in this work BETA

Robustness Analysis.Michael Weisberg - 2006 - Philosophy of Science 73 (5):730-742.
The Robust Volterra Principle.Michael Weisberg & Kenneth Reisman - 2008 - Philosophy of Science 75 (1):106-131.

View all 18 references / Add more references

Citations of this work BETA

Robustness and Idealizations in Agent-Based Models of Scientific Interaction.Daniel Frey & Dunja Šešelja - 2020 - British Journal for the Philosophy of Science 71 (4):1411-1437.
Scientific Polarization.Cailin O’Connor & James Owen Weatherall - 2017 - European Journal for Philosophy of Science 8 (3):855-875.

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