Cognitive simulation-based on knowledge evolution in fuzzy discrete event systems

Discrete event systems (DES) theory has been developed and widely used to study the behavior of complex systems. In this paper, from a formalism based on this theory (DEVS), we propose to present a formal approach for taking into account the knowledge evolution. Indeed, knowledge is not static; it can evolve in time, or during the simulation. Few tools offer to take into account these developments, which may have a significant impact on the validity of results. To deal this knowledge, we suggest adding a lifespan to the modeled data, the latter is used to define the validity degree of knowledge; it is a kind of confidence measure.