An Intelligent Visualization Agent for Simulation-Based Decision Support

  • Authors:
  • Michael M. Marefat;Andrew F. Varecka;Jeff Yost

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Computational Science & Engineering
  • Year:
  • 1997

Quantified Score

Hi-index 0.00

Visualization

Abstract

The IVA system can serve as a data-driven "visualization agent" for simulation environments. Using event expressions defined in a significant-event language, it extracts data of interest from very large data sets, and can modify the simulation based on detected events. A knowledge-based data mapping process helps create the most useful type of visualization to intelligently display the retrieved data.