Robustness and idealizations in agent-based models of scientific interaction

Daniel Frey, Dunja Seselja (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

The article 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 rivalling scientific theories, scientific interaction and the assessment in view of which scientists choose theories to work on. Our results suggest that whether and to what 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.
Original languageEnglish
Pages (from-to)1411-1437
Number of pages27
JournalBritish Journal for the Philosophy of Science
Volume71
Issue number4
DOIs
Publication statusPublished - 1 Dec 2020

Fingerprint Dive into the research topics of 'Robustness and idealizations in agent-based models of scientific interaction'. Together they form a unique fingerprint.

Cite this