A Knowledge-based Express Model of Operational Plan Containing Uncertainties
Xin Jin, Wang Xinnian, Yan Yu · 2020
Under the new confrontational mode of "Multi-Domain Operations", "change" becomes the key to victory. Uncertainty becomes an important challenge to operational command decision making. Traditional operational plans are made according to deterministic assumptions and has very limited ability to adapt to changes. Only human can adapt according to his own understanding to plans. This study proposes a knowledge-based express model of operational plan containing uncertainties. It can formally describe operational plans with uncertain starting time, optional strategies and dynamic calculated parameters, and can be executed by machine. It may be used in wargames, autonomous action monitoring, and other intelligent applications.