An Influence Diagram Approach for Multiagent Time-Critical Dynamic Decision Modeling

Recent interests in multiagent dynamic decision modeling in partially observable multiagent environments have led to the development of several representation and inference methods. However, these methods have limited application under time-critical conditions where a trade-off between model quality and computational tractability is essential. We present a formal representation for modeling time-critical multiagent dynamic decision problems through interactive dynamic influence diagrams. The proposed model, called interactive time-critical dynamic influence diagrams, has the ability to represent space-temporal abstraction in multiagent dynamic decision models. More importantly, we take the notion of object-orientation design which facilitates the self-expansion and self-compression in the model implementation.