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On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning

On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning

Yingxu Wang
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 22
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781466656819|DOI: 10.4018/ijssci.2014040103
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MLA

Wang, Yingxu. "On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning." IJSSCI vol.6, no.2 2014: pp.41-62. http://doi.org/10.4018/ijssci.2014040103

APA

Wang, Y. (2014). On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning. International Journal of Software Science and Computational Intelligence (IJSSCI), 6(2), 41-62. http://doi.org/10.4018/ijssci.2014040103

Chicago

Wang, Yingxu. "On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning," International Journal of Software Science and Computational Intelligence (IJSSCI) 6, no.2: 41-62. http://doi.org/10.4018/ijssci.2014040103

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Abstract

A cognitive knowledge base (CKB) is a novel structure of intelligent knowledge base that represents and manipulates knowledge as a dynamic concept network mimicking human knowledge processing. The essence of CKB is the denotational mathematical model of formal concept that is dynamically associated to other concepts in a CKB beyond conventional rule-based or ontology-based knowledge bases. This paper presents a formal CKB and autonomous knowledge manipulation system based on recent advances in neuroinformatics, concept algebra, semantic algebra, and cognitive computing. An item knowledge in CKB is represented by a formal concept, while the entire knowledge base is embodied by a dynamic concept network. The CKB system is manipulated by algorithms of knowledge acquisition and retrieval on the basis of concept algebra. CKB serves as a kernel of cognitive learning engines for cognitive robots and machine learning systems. CKB plays a central role not only in explaining the mechanisms of human knowledge acquisition and learning, but also in the development of cognitive robots, cognitive learning engines, and knowledge-based systems.

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