Abstract:
Several approaches to generating temporal decision trees for diagnostic purposes and algorithms for generating decision trees are considered. Process of diagnostics based on information about possible faults is modeled. Multiagent approach is used for diagnosting in dynamics. The work is supported by RFBR.