Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization.

ABSTRACT: An essential step in the analysis of agent-based simulation is sensitivity analysis, which namely examines the dependency of parameter values on simulation results. Although a number of approaches have been proposed for sensitivity analysis, they still have limitations in exhaustivity and interpretability. In this study, we propose a novel methodology for sensitivity analysis of agent-based simulation, MASSIVE (Massively parallel Agent-based Simulations and Subsequent Interactive Visualization-based Exploration). MASSIVE takes a unique paradigm, which is completely different from those of sensitivity analysis methods developed so far, By combining massively parallel computation and interactive data visualization, MASSIVE enables us to inspect a broad parameter space intuitively. We demonst

SUBMITTER: Niida A 

PROVIDER: S-EPMC6400389 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature