Influence Diagrams and Its Application in Robocup
Yao Hong · Acta Simulata Systematica Sinica · 2005
Influence Diagrams (IDs) is a graphical knowledge representation of decision problem. It may be viewed as an extension of Bayesian Networks (BNs), with additional node types for decision and utilities. It is discussed the basic concept of IDs and its application in Robocup. The model of intercept problem and a new arithmetic of real-time action adjustment are also presented. The results of simulation experiment indicate that the arithmetic is feasible.