Information and knowledge integration based on simulation modeling

The simulation modeling of Petri nets for intelligent analysis and integration of heterogeneous information and knowledge is widely used to solve decision-making problems in complex dynamical systems. There are many advantages of the usage of stimulated models for analysis of prior information on condition of complex objects and dynamics of its development taking into account the environmental effect. As an example we considered an operation of Petri net on the basis of three sets of priory information. Also this approach is promising for representation and acquisition of knowledge in different subject areas.