Plasma and Fusion Research

Volume 18, 2401045 (2023)

Regular Articles

In Situ Visualization Inspired by Ant Colony Formation
Yan WANG, Nobuaki OHNO1) and Akira KAGEYAMA
Graduate School of System Informatics, Kobe University, Kobe 657-8501, Japan
1)
Graduate School of Information Science, University of Hyogo, Kobe 651-2197, Japan
(Received 9 January 2023 / Accepted 10 April 2023 / Published 14 June 2023)

Abstract

A challenge in the in-situ visualization is the proper setting of the visualization's viewpoint. While visualizations should focus on a small part of the simulation region or region of interest (ROI), the appearance/disappearance and the motion of ROI are usually unknown beforehand in simulations of complex phenomena. In our previous paper, we proposed to make the visualization camera a kind of autonomous agent or a “smart camera”. In this approach, the camera agent locates itself near an ROI and keeps an appropriate distance to track the motion of the ROI. The next step in our approach is to increase the number of camera agents to visualize an ROI from multiple perspectives. A problem in introducing multiple camera agents resides in the rules for the agents' motion. In this paper, we propose to use virtual materials, or pheromones, that trigger social responses in camera agents.

Keywords

in-situ visualization, agent-based visualization, ant colony algorithm, 3D cellular automaton

DOI: 10.1585/pfr.18.2401045

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