  This paper presents entropy maps, an approach to describing and visualising
uncertainty among alternative potential movement intentions in pedestrian
simulation models. In particular, entropy maps show the instantaneous level of
randomness in decisions of a pedestrian agent situated in a specific point of
the simulated environment with an heatmap approach. Experimental results
highlighting the relevance of this tool supporting modelers are provided and
discussed.

Human-Computer Interaction;Artificial Intelligence