Multi-agent visualisation based on multivariate data
Michael D. Schroeder, Penny Noy · 2001
Interesting features of complex agent systems can be captured as multivariate data. There are a number of different approaches to visualizing such data. In this paper, we focus on methods which reduce the dimensions of the data through matrix transformations and then visualise the entities in the lower-dimensional space.