Situational Behavior Modeling

作者: Christopher J Matheus , Brian Ulicny , Mieczyslaw M Kokar , Kenneth Baclaawski , Won Ng

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摘要: Abstract : Behavior modeling for military applications needs to consider systems in which all kind of entities participate - machines, humans, human organizations (like platoons or companies) as well such complex like countries, industries and societies. The variety the structure participating behaviors domain require use representations tools appropriate this complexity. Ontological seems be best match domain. However, there are no known results literature on tracking using an ontological approach automatic inference over dynamic models can carried out tools. A behavior model conceptualized a number ways abstract concept that is independent any physical conceptual entity, feature specific associated with one more entities. Various knowledge representation mechanisms including State Machines, Hidden Markov Models, Petri Nets, Game Theoretic Models Bayesian Networks have been used extensively modeling. Most studies focusing type entity. For instance, organizational considers organization system interrelated (humans) then develops humans within organization. In presented document, treated being situation, i.e., objects (e.g., organization) some relations each other. While situation will normally basic by default, they able involving multiple objects.

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