Cognitive simulation-based on knowledge evolution in fuzzy discrete event systems
Paul-Antoine Bisgambiglia, Paul-Antoine Bisgambiglia, Jean-Sébastien Gualtieri · 2011
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.