Knowledge graph reasoning is the fundamental component to support machine learning applications such as information extraction, retrieval, and recommendation. Since knowledge graphs can be viewed discrete symbolic representations of knowledge, on naturally leverage techniques. However, intolerant ambiguous noisy data. On contrary, recent advances deep have promoted neural graphs, which robust d...

cognitive architectures (cas) are the core of artificial cognitive systems. a ca is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. over the years a number of distinct cas have been proposed by different authors and their limitations and potentials were investigated. these cas are usually classified as symbolic and...