The study of reality requires tools that should be appropriate to the type of phenomena that are to be investigated. Thus, for complex phenomena that have a network character Knownetlab applies the following appropriate methodologies: network analysis (in the strict sense of the word), Boolean networks (and the corresponding NK-FL models), and the simulation models with interacting agents.

Indeed, most social and natural phenomena are structured as complex networks, meaning that they are nonlinear, weakly decomposable, involving the observer, multi-criteria, mathematically intractable, and producing emergent and immergent properties. Hence, traditional methodological approaches are ineffective.

- Multi-Criteria Decision Making