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Robustness and Idealizations in Agent-Based Models of Scientific Interaction

Frey, Daniel and Šešelja, Dunja (2018) Robustness and Idealizations in Agent-Based Models of Scientific Interaction. The British Journal for the Philosophy of Science.

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Abstract

The paper presents an agent-based model (ABM) of scientific interaction aimed at examining how different degrees of connectedness of scientists impact their efficiency in knowledge acquisition. The model is built on the basis of Zollman's (2010) ABM by changing some of its idealizing
assumptions that concern the representation of the central notions underlying the model: epistemic success of the rivaling scientific theories, scientific interaction and the assessment in view of which scientists choose theories to work on. Our results suggest that whether and to which extent the degree of connectedness of a scientific community impacts its efficiency is a highly context-dependent matter since different conditions deem strikingly different results. More generally, we argue that simplicity
of ABMs may come at a price: the requirement to run extensive robustness analysis before we can specify the adequate target phenomenon of the model.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Frey, Danielfreyda87@gmail.com
Šešelja, Dunjadunja.seselja@rub.de
Keywords: agent-based models, scientific interaction, robustness analysis, social networks, minimal models
Subjects: General Issues > Models and Idealization
Depositing User: Dr. Dunja Šešelja
Date Deposited: 31 Mar 2018 02:53
Last Modified: 31 Mar 2018 02:53
Item ID: 14508
Journal or Publication Title: The British Journal for the Philosophy of Science
Publisher: Oxford University Press
Subjects: General Issues > Models and Idealization
Date: 2018
URI: https://philsci-archive.pitt.edu/id/eprint/14508

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