An Interactive Environment to Support Agent-based Graph Programming

Daniel Blashaw, Munehiro Fukuda

2022

Abstract

We apply agent-based modeling (ABM) to distributed graph analysis where a large number of reactive agents roam over a distributed graph to find its structural attributes, (e.g., significant subgraphs including triangles in a social network and network motifs in a biological network). Of importance is providing data scientists with an interactive environment to support agent-based graph programming, which enables interactive verification of agent behaviors, trial-and-error operations, and visualization of graphs and agent activities. This paper presents and evaluates our implementation techniques of these interactive features.

Paper Citation

in Harvard Style

Blashaw D. and Fukuda M. (2022). An Interactive Environment to Support Agent-based Graph Programming. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-547-0, pages 148-155. DOI: 10.5220/0010776400003116

in Bibtex Style

@conference{icaart22,
author={Daniel Blashaw and Munehiro Fukuda},
title={An Interactive Environment to Support Agent-based Graph Programming},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2022},
pages={148-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010776400003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - An Interactive Environment to Support Agent-based Graph Programming
SN - 978-989-758-547-0
AU - Blashaw D.
AU - Fukuda M.
PY - 2022
SP - 148
EP - 155
DO - 10.5220/0010776400003116