On Cognitive Learning Methodologies for Cognitive Robotics

A cognitive robot is an autonomous robot that is capable of inference, perception, and learning mimicking the cognitive mechanisms of the brain. The underpinning technologies for cognitive robots are the cognitive knowledge base (CKB) and the cognitive learning engine (CLE). This paper explores the cognitive foundations and denotational mathematical means of CLE and CKB for cognitive robotics. The conceptual architectures and cognitive functions of CKB and CLE are formally described. A content-addressed knowledge base methodology for CKB and a recursive learning algorithm for CLE are formally presented. The CLE and CKB theories and methodologies are not only designed to explain the mechanisms of human knowledge acquisition and learning, but also applied in the development of cognitive robots, cognitive computers, and knowledge-based systems as a key methodology. Key-Words: Cognitive robotics, cognitive informatics, cognitive computing, abstract intelligence, cognitive systems, autonomous learning, computational intelligence, denotational mathematics, brain science, neuroinformatics, intelligence science, cognitive machine learning, cognitive knowledge base, and artificial intelligence.