Families of Alternative Stochastic Action Networks: Use for Process Science

We consider a new mathematical formalism, which allows us to model alternative functioning cases due to changing system environment conditions and the environment's impacts. Models: to research dynamic capability organizational capability, sustainable development, information technology capability of the system, can be created based on suggested families of alternative stochastic action networks. Such families are complex of basic graph-theoretic objects and mappings between them. They describe functioning in terms of the alternative action networks, which can be interrupted and alternated. Such alternations form families of alternative stochastic action networks. We plan to built and use suggested models using process mining and process science techniques.