Epistemic Effects of Scientific Interaction: Approaching the Question with an Argumentative Agent-Based Model
| Autor: | Borg, AnneMarie, Frey, Daniel, Šešelja, Dunja, Straßer, Christian |
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| Rok vydání: | 2018 |
| Předmět: |
Sociology & anthropology
Soziologie Anthropologie Agent-based models abstract argumentation scientific inquiry scientific interaction social networks Wissenschaftssoziologie Wissenschaftsforschung Technikforschung Techniksoziologie Sociology of Science Sociology of Technology Research on Science and Technology Forschungsprozess Forschungspraxis soziales Netzwerk Simulation Informationsfluss Theorievergleich Wissenserwerb Wissenschaftler Erkenntnistheorie Informationsaustausch Interaktion Modellentwicklung Argumentation scientist theory comparison knowledge acquisition information flow interaction information exchange epistemology simulation model construction research practice social network argumentation research process 30300 10200 |
| Zdroj: | Historical Social Research, 43, 1, 285-307, Agent-Based Modeling in Social Science, History, and Philosophy |
| Druh dokumentu: | journal article<br />Zeitschriftenartikel |
| ISSN: | 0172-6404 |
| DOI: | 10.12759/hsr.43.2018.1.285-307 |
| Popis: | 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. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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