@inbook{a2b4fd2723b44ad889722ae1a7e80e73,
title = "An argumentative agent-based model of scientific inquiry",
abstract = "In this paper we present an agent-based model (ABM) of scientific inquiry aimed at investigating how different social networks impact the efficiency of scientists in acquiring knowledge. As such, the ABM is a computational tool for tackling issues in the domain of scientific methodology and science policy. In contrast to existing ABMs of science, our model aims to represent the argumentative dynamics that underlies scientific practice. To this end we employ abstract argumentation theory as the core design feature of the model.",
author = "AnneMarie Borg and Daniel Frey and Dunja Seselja and Christian Stra{\ss}er",
year = "2017",
doi = "10.1007/978-3-319-60042-0_56",
language = "English",
isbn = "978-3-319-60042-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "507--510",
editor = "Salem Benferhat and Karim Tabia and Moonis Ali",
booktitle = "Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I",
address = "Germany",
note = "30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, IEA/AIE2017 ; Conference date: 27-06-2017 Through 30-07-2017",
}