Abstract:

The series Bayesian network (SBN) model aiming at the characteristics of hierarchy and sequentiality of the planning process is proposed and the dynamic series Bayesian network (DSBN) made up of dynamic Bayesian network (DBN) and SBN for plan recognition is constructed. DBN part of the DSBN model is used for reasoning metaintentions by a series of characters, and SBN part of DSBN model is for reasoning the upper intention by links of children intentions. The paper infers the deduction algorithm of the DSBN model, and analyzes the ability of depict and reference of the DSBN model in the domain of plan recognition. Experimental results show that the DSBN model can recognize the tactical intention by a series of characters efficiently.