Abstract
One of the fundamental means for interaction and coordination between humans and cognitive robots is knowledge sharing in general and formal concept comprehension in particular. A cognitive knowledge base (CKB) is introduced as a formal structure of collective knowledge embodied by a weighted hierarchical concept network. This paper formally describes a CKB based on concept algebra and semantic algebra. An Algorithm of CKB Generation (ACKBG) is developed for autonomous machine learning from complex human knowledge and semantic expressions. A set of experiments demonstrates applications of ACKBG in brain-machine interfacing via a sharable CKB in cognitive computing, semantic computing, and machine learning.
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