Cooperative learning among networks will lead to hybrid intelligence Neural networks will evolve from monolithic to distributed co-operative/competitive models. Coupled with evolving neural-fuzzy and generic fuzzy algorithms — reinforced learning models that are more adaptive to the environment and context (i.e., too noisy and time-varying systems) — these neural networks will evolve into hybrid intelligent systems that integrate different learning and adaptation techniques to overcome individual limitations