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Epistemic Effects of Scientific Interaction: Approaching the Question with an Argumentative Agent-Based Model
Epistemische Auswirkungen wissenschaftlicher Interaktion: Ein argumentatives agentenbasiertes Modell
[journal article]
Abstract The question whether increased interaction among scientists is beneficial or harmful for their efficiency in acquiring knowledge has in recent years been tackled by means of agent-based models (ABMs) (e.g. Zollman 2007, 2010; Grim 2009; Grim et al. 2013). Nevertheless, the relevance of some of these... view more
The question whether increased interaction among scientists is beneficial or harmful for their efficiency in acquiring knowledge has in recent years been tackled by means of agent-based models (ABMs) (e.g. Zollman 2007, 2010; Grim 2009; Grim et al. 2013). Nevertheless, the relevance of some of these results for actual scientific practice has been questioned in view of specific parameter choices used in the simulations (Rosenstock et al. 2016). In this paper we present a novel ABM that aims at tackling the same question, while representing scientific interaction in terms of argumentative exchange. In this way we examine the robustness of previously obtained results under different modeling choices.... view less
Keywords
scientist; theory comparison; knowledge acquisition; information flow; interaction; information exchange; epistemology; simulation; model construction; research practice; social network; argumentation; research process
Classification
Sociology of Science, Sociology of Technology, Research on Science and Technology
Free Keywords
Agent-based models; abstract argumentation; scientific inquiry; scientific interaction; social networks
Document language
English
Publication Year
2018
Page/Pages
p. 285-307
Journal
Historical Social Research, 43 (2018) 1
Issue topic
Agent-Based Modeling in Social Science, History, and Philosophy
DOI
https://doi.org/10.12759/hsr.43.2018.1.285-307
ISSN
0172-6404
Status
Published Version; peer reviewed