IMAGE: A Computer-Aided Cognition Capability for Understanding Complex Systems

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Authors
  1. Lafond, D.
  2. Gagnon, J-F.
  3. Tremblay, S.
  4. Lizotte, M.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Motivation - Computational models are increasingly used to gain insights into complex phenomena. However, better tools are needed to analyze and understand them. Research approach - We describe the IMAGE technology and an ongoing empirical evaluation of IMAGE compared to a baseline condition. Findings/Design - IMAGE provides interactive visualizations to facilitate the management and comparison of multiple simulations, the exploration of data, and the explicit representation of knowledge. Research limitations/Implications - While it may not be possible to fully understand nor predict the behaviour of complex systems, analysts and decision makers would benefit from technologies designed to facilitate their analysis. Originality/Value - IMAGE is a set of advanced technologies working in synergy that seeks to augment comprehension of complex systems. Take away message - IMAGE provides powerful innovative tools for simulation, exploration, and representation-three functions that the human mind cannot perform effectively in complex settings without the support of cognitive artifacts.
Report Number
DRDC-VALCARTIER-SL-2009-171 — Scientific Literature
Date of publication
01 Jun 2009
Number of Pages
2
DSTKIM No
CA032936
CANDIS No
532145
Format(s):
Document Image stored on Optical Disk

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