An Interactive Environment to Support Agent-based Graph Programming

Daniel Blashaw; Munehiro Fukuda

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Paper

An Interactive Environment to Support Agent-based Graph Programming

Topics: Agent Models and Architectures; Big Data; Distributed Problem Solving; Mobile Agents; Multi-Agent Systems; Programming Environments and Agent Platforms ; Simulation; Visualization

In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 148-155, 2022

Authors: Daniel Blashaw and Munehiro Fukuda

Affiliation: Division of Computing and Software Systems, University of Washington Bothell, U.S.A.

Keyword(s): ABM, Visualization, Big Graphs, Parallel Computing.

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.

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Paper citation in several formats:

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; ISSN 2184-433X, SciTePress, pages 148-155. DOI: 10.5220/0010776400003116

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Blashaw, D.
AU - Fukuda, M.
PY - 2022
SP - 148
EP - 155
DO - 10.5220/0010776400003116
PB - SciTePress