Abstract
In this work, we consider a relatively new representation used in cognitive theory to describe how people understand concepts. This representation is called conceptual spaces, and is a geometrical way to represent human thought. Our work relates conceptual spaces to data fusion, first at level 1, and later to be extended to level 2 (as defined by JDL [1]). In this paper, we focus on modeling these conceptual spaces as a mathematical program. We then discuss uses and methodologies for conceptual spaces in the light of data fusion.