Title :
Information fusion using conceptual spaces: Mathematical programming models and methods
Author :
Holender, Michael ; Nagi, Rakesh ; Sudit, Moises ; Rickard, J. Terry
Author_Institution :
SUNY at Buffalo, Buffalo
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.
Keywords :
cognition; mathematical programming; sensor fusion; cognitive theory; conceptual spaces; information fusion; mathematical programming models; Aerospace industry; Biological system modeling; Chemical sensors; Humans; Intelligent sensors; Mathematical model; Mathematical programming; Sensor fusion; Sensor systems; Systems engineering and theory; Conceptual Spaces; Data Fusion; Integer Program; Mathematical Program; Situational Assessment;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408111