Generic Representation of Military Organisation and Military Behaviour: UML and Bayesian Networks.
2004 (English)In: RTO-MP-MSG-022, 2004Conference paper (Refereed)
To be able to model systems for C2 we have to evaluate and find appropriate methodology for modelling and representation of our knowledge about military organisations and military behaviour. Military organisation and military behaviour are important parts of C2.In this paper we present a study of modelling military organisation and military behaviour in a generic manner, using two different knowledge representation techniques: the Unified Modeling Language (UML) and Bayesian Networks. The class diagram that is provided by UML is well suited for representing military organisations whose structure is well-known, since military units and their interrelations can be represented as classes and interrelations between the classes. On the other hand, it is a much harder task to represent military organisations that are not well-known or military behaviour because of the uncertainty associated with them. Different behaviours are triggered in different environments using different doctrines, and the outcomes of the behaviours are uncertain. Due to complexity, time constraints and war friction, causal relations between different factors, which play an important role in warfare, may be uncertain.Bayesian Networks seems to be a reasonable choice for representing uncertain military behaviour as well as uncertain military organizations, since this method combines uncertainty and a priori knowledge in a homogeneous way. We can compare those models and facilitate the verifying process. As result we get a more reliable BN and the modelling time decreases.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:kth:diva-27751ISBN: 92-837-0038-4OAI: oai:DiVA.org:kth-27751DiVA: diva2:380672
Conference on “C3I and M&S Interoperability”, held in Antalya, Turkey, 9-10 October 2003
QC 201012222010-12-222010-12-222010-12-22Bibliographically approved