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

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