# An argumentative agent-based model of scientific inquiry

arXiv: https://arxiv.org/abs/1612.04432 · HTML: https://mlsanity.com/paper/1612.04432/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Dec 2016.

## Built on by (most cited first, 1 of 1)

- [Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics](https://mlsanity.com/paper/2104.06737/) (2021)

## Abstract (arXiv)

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. This helps to avoid a number of problematic idealizations which are present in other ABMs of science and which impede their relevance for actual scientific practice.