The world in which Hybrid Intelligent systems operate is dynamic, as are the teams of humans and agents that make up such HI systems.

HI systems thus need to operate in situations not anticipated by their designers, and cope with variable team configurations, preferences and roles. This requires progress in online reinforcement learning, auto ML, and the integration of learning and reasoning.