Modelling of the Intelligent Agent’s Behavior Scheduler Based on Petri Nets and Ontological Approach

The article considers the development of a model of scheduling the behavior of an intelligent agent based on its rational activity. The model construction is based on Petri nets and uses the subject area ontology to assess the cost of resources and the relevance of states. It is shown that the problem of minimizing resource costs can be reduced to the asynchronous dynamic programming problem.