ShELL emerges at the intersection of the listed fields by integrating concepts that are required to produce lifelong learning and sharing. Shared experience is interpreted as a general information-sharing mechanism that can involve a wide range of categories such as data, context, parameters, gradient updates, representations and algorithms. The listed fields have originated with a different focus on the number of agents, number of tasks, sharing modalities and objectives. As such research fields evolve, they expand along the edges of this abstract space to include more capabilities. Algorithmic approaches listed on the lower plane require integration along the vertical dimension when deployed on edge computing devices.
