Description of the Choquet Integral for tactical knowledge representation

Abstract

The goal of Combat Identification (CID), and as well, Situational Awareness (SA), is to combine data and information at the appropriate information representation in order to declare a positive ID according to a classification structure. CID includes the ultimate determination of the intent and prediction of future actions of an object or entity via the establishment of tactical knowledge. To facilitate CID, we utilize the concept of conceptual spaces to represent cooperative and non-cooperative CID. The Choquet integral combined with Bayes risk enables methods that provide a statistical approach to adversary intent prediction through the CID knowledge spaces. The use of the Choquet Integral for CID is applied in the context of a Maritime Domain Awareness (MDA) example.