SNAP: Scalable Networkable ABM Platform for the Social Sciences

Christopher Conway

2022

Abstract

Agent-Based models (ABMs), although increasingly useful and widespread, are underused in social science. I show that extant “user-friendly” platforms are not well suited for social science research, while platforms that would support such research are not easy to use. I outline requirements for a sufficiently powerful, easy-to-use system, which requires no programming skills on the part of the user. I explain the design and development of an ABM which features a GUI and a menu of agents, statistics, and visualizations which are commonly desired. This system is robust enough for social science research; it is portable, flexible, and customizable. Users will have access to pre-designed complex and recursive agents, running distributed across all available processors, as well as user-selected geometries and time clocks. Progress and future work are discussed.

Paper Citation

in Harvard Style

Conway C. (2022). SNAP: Scalable Networkable ABM Platform for the Social Sciences. In Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-578-4, pages 165-171. DOI: 10.5220/0011051400003274

in Bibtex Style

@conference{simultech22,
author={Christopher Conway},
title={SNAP: Scalable Networkable ABM Platform for the Social Sciences},
booktitle={Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2022},
pages={165-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011051400003274},
isbn={978-989-758-578-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - SNAP: Scalable Networkable ABM Platform for the Social Sciences
SN - 978-989-758-578-4
AU - Conway C.
PY - 2022
SP - 165
EP - 171
DO - 10.5220/0011051400003274