Résumé : In this dissertation, we aimed to explore an integrative model of consciousness that describes the putative computational mechanisms that subtend conscious experience. We suggested a two-levels model that uses representational redescription to explain both the self-modeling capacity of consciousness but also the global availability of conscious information, and how both of these aspects can evolve through learning. However, if we were able to show that our model was relevant to explain the former capacity, we failed to demonstrate that this is the case for the latter. As we will discuss, perhaps these two aspects involve different computational mechanisms.