  Concept-cognitive learning (CCL) is a hot topic in recent years, and it has
attracted much attention from the communities of formal concept analysis,
granular computing and cognitive computing. However, the relationship among
cognitive computing (CC), concept-cognitive computing (CCC), CCL and
concept-cognitive learning model (CCLM) is not clearly described. To this end,
we first explain the relationship of CC, CCC, CCL and CCLM. Then, we propose a
generalized concept-cognitive learning (GCCL) from the point of view of machine
learning. Finally, experiments on some data sets are conducted to verify the
feasibility of concept formation and concept-cognitive process of GCCL.
